This repository contains a collection of resources and papers on Diffusion Models.
Please refer to this page as this page may not contain all the information due to page constraints.
- Resources
- Papers
⏩ DiffusionFastForward: 01-Diffusion-Theory
Mikolaj Czerkawski (@mikonvergence)
[Website]
4 Feb 2023
How diffusion models work: the math from scratch
Sergios Karagiannakos,Nikolas Adaloglou
[Website]
24 Sep 2022
A Path to the Variational Diffusion Loss
Alex Alemi
[Website] [Colab]
15 Sep 2022
The Annotated Diffusion Model
Niels Rogge, Kashif Rasul
[Website]
06 Jun 2022
The recent rise of diffusion-based models
Maciej Domagała
[Website]
06 Jun 2022
Introduction to Diffusion Models for Machine Learning
Ryan O'Connor
[Website]
12 May 2022
Improving Diffusion Models as an Alternative To GANs
Arash Vahdat and Karsten Kreis
[Website-Part 1] [Website-Part 2]
26 Apr 2022
An introduction to Diffusion Probabilistic Models
Ayan Das
[Website]
04 Dec 2021
Introduction to deep generative modeling: Diffusion-based Deep Generative Models
Jakub Tomczak
[Website]
30 Aug 2021
What are Diffusion Models?
Lilian Weng
[Website]
11 Jul 2021
Diffusion Models as a kind of VAE
Angus Turner
[Website]
29 Jun 2021
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
[Website]
5 May 2021
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
arXiv 2022. [Paper]
25 Aug 2022
How to Train Your Energy-Based Models
Yang Song, Diederik P. Kingma
arXiv 2022. [Paper]
9 Jan 2021
⏩ DiffusionFastForward
Mikolaj Czerkawski (@mikonvergence)
[Video]
4 Mar 2023
Diffusion models from scratch in PyTorch
DeepFindr
[Video]
18 Jul 2022
Diffusion Models | Paper Explanation | Math Explained
Outlier
[Video]
6 Jun 2022
What are Diffusion Models?
Ari Seff
[Video]
20 Apr 2022
Diffusion models explained
AI Coffee Break with Letitia
[Video]
23 Mar 2022
Denoising Diffusion-based Generative Modeling: Foundations and Applications
Karsten Kreis, Ruiqi Gao, Arash Vahdat
[Page]
19 Jun 2022
Diffusion Probabilistic Models
Jascha Sohl-Dickstein, MIT 6.S192 - Lecture 22
[Video]
19 Apr 2022
⏩ DiffusionFastForward: train from scratch in colab
Mikolaj Czerkawski (@mikonvergence)
[Github]
[notebook]
diffusion-for-beginners
ozanciga
[Github]
Beyond Diffusion: What is Personalized Image Generation and How Can You Customize Image Synthesis?
J. Rafid Siddiqui
[Github] [Medium]
Diffusion_models_tutorial
FilippoMB
[Github]
ScoreDiffusionModel
JeongJiHeon
[Github]
Minimal implementation of diffusion models
VSehwag
[Github]
diffusion_tutorial
sunlin-ai
[Github]
Denoising diffusion probabilistic models
acids-ircam
[Github]
Centipede Diffusion
Zalring
[Notebook]
Deforum Stable Diffusion
deforum
[Notebook]
Stable Diffusion Interpolation
None
[Notebook]
Keras Stable Diffusion: GPU starter example
None
[Notebook]
Huemin Jax Diffusion
huemin-art
[Notebook]
Disco Diffusion
alembics
[Notebook]
Simplified Disco Diffusion
entmike
[Notebook]
WAS's Disco Diffusion - Portrait Generator Playground
WASasquatch
[Notebook]
Diffusers - Hugging Face
huggingface
[Notebook]
A Survey on Video Diffusion Models
Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu and Yu-Gang Jiang
arXiv 2023. [Paper]
16 Oct 2023
State of the Art on Diffusion Models for Visual Computing
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
arXiv 2023. [Paper]
11 Oct 2023
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories
Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau
arXiv 2023. [Paper]
28 Sep 2023
A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions
Tianyi Zhang, Zheng Wang, Jing Huang, Mohiuddin Muhammad Tasnim, Wei Shi
arXiv 2023. [Paper]
25 Aug 2023
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey
Xin Li, Yulin Ren, Xin Jin, Cuiling Lan, Xingrui Wang, Wenjun Zeng, Xinchao Wang, Zhibo Chen
arXiv 2023. [Paper]
18 Aug 2023
A Comprehensive Survey on Generative Diffusion Models for Structured Data
Heejoon Koo, To Eun Kim
arXiv 2023. [Paper]
7 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang, George A. Koulieris, Hubert P. H. Shum
arXiv 2023. [Paper]
7 Jun 2023
Diffusion Models in NLP: A Survey
Hao Zou, Zae Myung Kim, Dongyeop Kang
arXiv 2023. [Paper]
24 May 2023
Diffusion Models for Time Series Applications: A Survey
Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
arXiv 2023. [Paper]
1 May 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
Weijian Luo
arXiv 2023. [Paper]
9 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Mengchun Zhang, Maryam Qamar, Taegoo Kang, Yuna Jung, Chenshuang Zhang, Sung-Ho Bae, Chaoning Zhang
arXiv 2023. [Paper]
4 Apr 2023
Audio Diffusion Model for Speech Synthesis: A Survey on Text To Speech and Speech Enhancement in Generative AI
Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon
arXiv 2023. [Paper]
23 Mar 2023
Diffusion Models in NLP: A Survey
Yuansong Zhu, Yu Zhao
arXiv 2023. [Paper]
14 Mar 2023
Text-to-image Diffusion Model in Generative AI: A Survey
Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon
arXiv 2023. [Paper]
14 Mar 2023
Diffusion Models for Non-autoregressive Text Generation: A Survey
Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
arXiv 2023. [Paper]
12 Mar 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action
Zhiye Guo, Jian Liu, Yanli Wang, Mengrui Chen, Duolin Wang, Dong Xu, Jianlin Cheng
arXiv 2023. [Paper]
13 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications
Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
arXiv 2023. [Paper]
6 Feb 2023
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof
arXiv 2022. [Paper] [Github]
14 Nov 2022
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq, Naveed Akhtar, Ganna Pogrebna
arXiv 2022. [Paper]
7 Oct 2022
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah
arXiv 2022. [Paper]
10 Sep 2022
A Survey on Generative Diffusion Model
Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
arXiv 2022. [Paper]
6 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang, Zhilong Zhang, Shenda Hong, Wentao Zhang
arXiv 2022. [Paper]
2 Sep 2022
DiffEnc: Variational Diffusion with a Learned Encoder
Beatrix M. G. Nielsen, Anders Christensen, Andrea Dittadi, Ole Winther
arXiv 2023. [Paper]
30 Oct 2023
Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models
Tim Z. Xiao, Johannes Zenn, Robert Bamler
arXiv 2023. [Paper]
30 Oct 2023
Successfully Applying Lottery Ticket Hypothesis to Diffusion Model
Chao Jiang, Bo Hui, Bohan Liu, Da Yan
arXiv 2023. [Paper]
28 Oct 2023
Noise-Free Score Distillation
Oren Katzir, Or Patashnik, Daniel Cohen-Or, Dani Lischinski
arXiv 2023. [Paper]
26 Oct 2023
The statistical thermodynamics of generative diffusion models
Luca Ambrogioni
arXiv 2023. [Paper]
26 Oct 2023
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise
Zhenkai Zhang, Krista A. Ehinger, Tom Drummond
arXiv 2023. [Paper]
26 Oct 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
Longlin Yu, Tianyu Xie, Yu Zhu, Tong Yang, Xiangyu Zhang, Cheng Zhang
arXiv 2023. [Paper] [Github]
26 Oct 2023
RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image Synthesis
Anant Khandelwal
arXiv 2023. [Paper]
24 Oct 2023
Improved Techniques for Training Consistency Models
Yang Song, Prafulla Dhariwal
arXiv 2023. [Paper]
22 Oct 2023
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection
Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin
NeurIPS 2023. [Paper] [Github]
20 Oct 2023
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
Gabriele Corso, Yilun Xu, Valentin de Bortoli, Regina Barzilay, Tommi Jaakkola
arXiv 2023. [Paper] [Github]
19 Oct 2023
Closed-Form Diffusion Models
Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon
arXiv 2023. [Paper]
19 Oct 2023
Elucidating The Design Space of Classifier-Guided Diffusion Generation
Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun
arXiv 2023. [Paper] [Github]
17 Oct 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng
arXiv 2023. [Paper]
17 Oct 2023
Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models
Zijian Zhang, Luping Liu. Zhijie Lin, Yichen Zhu, Zhou Zhao
arXiv 2023. [Paper]
15 Oct 2023
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner
Mengfei Xia, Yujun Shen, Changsong Lei, Yu Zhou, Ran Yi, Deli Zhao, Wenping Wang, Yong-jin Liu
arXiv 2023. [Paper]
14 Oct 2023
Unseen Image Synthesis with Diffusion Models
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
arXiv 2023. [Paper]
13 Oct 2023
Debias the Training of Diffusion Models
Hu Yu, Li Shen, Jie Huang, Man Zhou, Hongsheng Li, Feng Zhao
arXiv 2023. [Paper]
12 Oct 2023
Neural Diffusion Models
Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth
arXiv 2023. [Paper]
12 Oct 2023
Efficient Integrators for Diffusion Generative Models
Kushagra Pandey, Maja Rudolph, Stephan Mandt
arXiv 2023. [Paper]
11 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
arXiv 2023. [Paper]
10 Oct 2023
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Lijun Yu, José Lezama, Nitesh B. Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang
arXiv 2023. [Paper] [Github]
9 Oct 2023
The Emergence of Reproducibility and Consistency in Diffusion Models
Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Liyue Shen, Qing Qu
arXiv 2023. [Paper]
8 Oct 2023
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures
Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu
arXiv 2023. [Paper]
7 Oct 2023
Observation-Guided Diffusion Probabilistic Models
Junoh Kang, Jinyoung Choi, Sungik Choi, Bohyung Han
arXiv 2023. [Paper]
6 Oct 2023
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, Hang Zhao
arXiv 2023. [Paper]
6 Oct 2023
Denoising Diffusion Step-aware Models
Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Yingcong Chen
arXiv 2023. [Paper]
5 Oct 2023
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
arXiv 2023. [Paper]
5 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
NeurIPS 2023. [Paper] [Github]
5 Oct 2023
On Memorization in Diffusion Models
Xiangming Gu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Ye Wang
arXiv 2023. [Paper] [Github]
4 Oct 2023
Sequential Data Generation with Groupwise Diffusion Process
Sangyun Lee, Gayoung Lee, Hyunsu Kim, Junho Kim, Youngjung Uh
arXiv 2023. [Paper]
2 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
arXiv 2023. [Paper]
1 Oct 2023
Completing Visual Objects via Bridging Generation and Segmentation
Xiang Li, Yinpeng Chen, Chung-Ching Lin, Rita Singh, Bhiksha Raj, Zicheng Liu
arXiv 2023. [Paper]
1 Oct 2023
Decoding Realistic Images from Brain Activity with Contrastive Self-supervision and Latent Diffusion
Jingyuan Sun, Mingxiao Li, Marie-Francine Moens
arXiv 2023. [Paper]
30 Sep 2023
FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery
Tasin Islam, Alina Miron, XiaoHui Liu, Yongmin Li
arXiv 2023. [Paper]
29 Sep 2023
Denoising Diffusion Bridge Models
Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon
arXiv 2023. [Paper]
29 Sep 2023
DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation
Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu
arXiv 2023. [Paper]
29 Sep 2023
Distilling ODE Solvers of Diffusion Models into Smaller Steps
Sanghwan Kim, Hao Tang, Fisher Yu
arXiv 2023. [Paper]
28 Sep 2023
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
Xin Yuan, Michael Maire
arXiv 2023. [Paper]
27 Sep 2023
Generative Escher Meshes
Noam Aigerman, Thibault Groueix
arXiv 2023. [Paper]
25 Sep 2023
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
Yangming Li, Boris van Breugel, Mihaela van der Schaar
arXiv 2023. [Paper]
25 Sep 2023
GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER
Mingzhen Sun, Weining Wang, Zihan Qin, Jiahui Sun, Sihan Chen, Jing Liu
arXiv 2023. [Paper] [Github]
23 Sep 2023
Score Mismatching for Generative Modeling
Senmao Ye, Fei Liu
arXiv 2023. [Paper]
20 Sep 2023
Generalised Probabilistic Diffusion Scale-Spaces
Pascal Peter
arXiv 2023. [Paper]
15 Sep 2023
Generative Image Dynamics
Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski
arXiv 2023. [Paper] [Project]
14 Sep 2023
Beta Diffusion
Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
NeurIPS 2023. [Paper]
14 Sep 2023
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
arXiv 2023. [Paper]
12 Sep 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models
Qinpeng Cui, Xinyi Zhang, Zongqing Lu, Qingmin Liao
arXiv 2023. [Paper]
12 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
Yaxuan Zhu, Jianwen Xie, Yingnian Wu, Ruiqi Gao
arXiv 2023. [Paper]
10 Sep 2023
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
arXiv 2023. [Paper]
4 Sep 2023
Gradient Domain Diffusion Models for Image Synthesis
Yuanhao Gong
arXiv 2023. [Paper]
5 Sep 2023
Hierarchical Masked 3D Diffusion Model for Video Outpainting
Fanda Fan, Chaoxu Guo, Litong Gong, Biao Wang, Tiezheng Ge, Yuning Jiang, Chunjie Luo, Jianfeng Zhan
arXiv 2023. [Paper] [Github]
5 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors
Mohsen Zand, Ali Etemad, Michael Greenspan
arXiv 2023. [Paper] [Github]
3 Sep 2023
Diffusion Inertial Poser: Human Motion Reconstruction from Arbitrary Sparse IMU Configurations
Tom Van Wouwe, Seunghwan Lee, Antoine Falisse, Scott Delp, C. Karen Liu
AAAI 2024. [Paper]
31 Aug 2023
Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints
Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi
arXiv 2023. [Paper]
31 Aug 2023
Elucidating the Exposure Bias in Diffusion Models
Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Onal Ertugrul
arXiv 2023. [Paper]
29 Aug 2023
Residual Denoising Diffusion Models
Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu
arXiv 2023. [Paper] [Github]
25 Aug 2023
Efficient Transfer Learning in Diffusion Models via Adversarial Noise
Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu
arXiv 2023. [Paper]
23 Aug 2023
Boosting Diffusion Models with an Adaptive Momentum Sampler
Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
arXiv 2023. [Paper]
23 Aug 2023
Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image
Liao Shen, Xingyi Li, Huiqiang Sun, Juewen Peng, Ke Xian, Zhiguo Cao, Guosheng Lin
ACM MM 2023. [Paper]
20 Aug 2023
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks
Mingxuan Liu, Rui Wen, Hong Chen
arXiv 2023. [Paper]
20 Aug 2023
SciRE-Solver: Efficient Sampling of Diffusion Probabilistic Models by Score-integrand Solver with Recursive Derivative Estimation
Shigui Li, Wei Chen, Delu Zeng
arXiv 2023. [Paper]
15 Aug 2023
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling
Qinsheng Zhang, Jiaming Song, Yongxin Chen
arXiv 2023. [Paper]
4 Aug 2023
Patched Denoising Diffusion Models For High-Resolution Image Synthesis
Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu
arXiv 2023. [Paper]
2 Aug 2023
Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models
Xin Yuan, Linjie Li, Jianfeng Wang, Zhengyuan Yang, Kevin Lin, Zicheng Liu, Lijuan Wang
arXiv 2023. [Paper]
27 Jul 2023
Synthesis of Batik Motifs using a Diffusion -- Generative Adversarial Network
One Octadion, Novanto Yudistira, Diva Kurnianingtyas
arXiv 2023. [Paper]
22 Jul 2023
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport
Zezeng Li, ShengHao Li, Zhanpeng Wang, Na Lei, Zhongxuan Luo, Xianfeng Gu
arXiv 2023. [Paper] [Github]
21 Jul 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Suttisak Wizadwongsa, Worameth Chinchuthakun, Pramook Khungurn, Amit Raj, Supasorn Suwajanakorn
arXiv 2023. [Paper]
20 Jul 2023
Flow Matching in Latent Space
Quan Dao, Hao Phung, Binh Nguyen, Anh Tran
arXiv 2023. [Paper] [Project]
17 Jul 2023
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation
Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
arXiv 2023. [Paper]
17 Jul 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
arXiv 2023. [Paper]
17 Jul 2023
Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
arXiv 2023. [Paper] [Project] [Github]
4 Jul 2023
ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning
Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal
arXiv 2023. [Paper]
4 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
arXiv 2023. [Paper] [Github]
4 Jul 2023
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
Tserendorj Adiya, Sanghun Kim, Jung Eun Lee, Jae Shin Yoon, Hwasup Lim
arXiv 2023. [Paper]
2 Jul 2023
Spiking Denoising Diffusion Probabilistic Models
Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu
arXiv 2023. [Paper]
29 Jun 2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2023. [Paper]
25 Jun 2023
Decoupled Diffusion Models with Explicit Transition Probability
Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu
arXiv 2023. [Paper]
23 Jun 2023
Continuous Layout Editing of Single Images with Diffusion Models
Zhiyuan Zhang, Zhitong Huang, Jing Liao
arXiv 2023. [Paper]
22 Jun 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs)
Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, kayhan Batmanghelich, Tingbo Hou
arXiv 2023. [Paper]
21 Jun 2023
Eliminating Lipschitz Singularities in Diffusion Models
Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng
arXiv 2023. [Paper]
20 Jun 2023
GD-VDM: Generated Depth for better Diffusion-based Video Generation
Ariel Lapid, Idan Achituve, Lior Bracha, Ethan Fetaya
arXiv 2023. [Paper]
19 Jun 2023
Image Harmonization with Diffusion Model
Jiajie Li, Jian Wang, Chen Wang, Jinjun Xiong
arXiv 2023. [Paper]
17 Jun 2023
Training Diffusion Classifiers with Denoising Assistance
Chandramouli Sastry, Sri Harsha Dumpala, Sageev Oore
arXiv 2023. [Paper]
15 Jun 2023
Conditional Human Sketch Synthesis with Explicit Abstraction Control
Dar-Yen Chen
arXiv 2023. [Paper]
15 Jun 2023
Fast Training of Diffusion Models with Masked Transformers
Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar
arXiv 2023. [Paper] [Github]
15 Jun 2023
Relation-Aware Diffusion Model for Controllable Poster Layout Generation
Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao
arXiv 2023. [Paper]
15 Jun 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
arXiv 2023. [Paper]
15 Jun 2023
DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
arXiv 2023. [Paper]
13 Jun 2023
Fast Diffusion Model
Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang
arXiv 2023. [Paper] [Github]
12 Jun 2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
arXiv 2023. [Paper]
8 Jun 2023
Multi-Architecture Multi-Expert Diffusion Models
Yunsung Lee, Jin-Young Kim, Hyojun Go, Myeongho Jeong, Shinhyeok Oh, Seungtaek Choi
arXiv 2023. [Paper]
8 Jun 2023
Interpreting and Improving Diffusion Models Using the Euclidean Distance Function
Frank Permenter, Chenyang Yuan
arXiv 2023. [Paper]
8 Jun 2023
Video Diffusion Models with Local-Global Context Guidance
Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He
IJCAI 2023. [Paper] [Github]
5 Jun 2023
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
arXiv 2023. [Paper]
5 Jun 2023
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching
Etrit Haxholli, Marco Lorenzi
arXiv 2023. [Paper]
5 Jun 2023
Temporal Dynamic Quantization for Diffusion Models
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
arXiv 2023. [Paper]
4 Jun 2023
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations
Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras
BMVC 2023. [Paper] [Github]
2 Jun 2023
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation
Nico Giambi, Giuseppe Lisanti
arXiv 2023. [Paper]
1 Jun 2023
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1 Jun 2023
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1 Jun 2023
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1 Jun 2023
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31 May 2023
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31 May 2023
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30 May 2023
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Ambient Diffusion: Learning Clean Distributions from Corrupted Data
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30 May 2023
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30 May 2023
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ICML 2023. [Paper] [Github]
28 May 2023
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29 May 2023
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26 May 2023
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25 May 2023
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25 May 2023
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22 May 2023
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19 May 2023
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17 May 2023
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10 May 2023
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23 Apr 2023
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22 Apr 2023
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17 Apr 2023
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14 Apr 2023
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10 Apr 2023
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31 Mar 2023
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25 Mar 2023
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24 Mar 2023
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22 Mar 2023
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20 Mar 2023
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16 Mar 2023
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CVPR 2023. [Paper]
15 Mar 2023
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14 Mar 2023
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11 Mar 2023
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11 Mar 2023
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9 Mar 2023
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3 Mar 2023
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2 Mar 2023
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24 Feb 2023
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22 Feb 2023
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21 Feb 2023
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21 Feb 2023
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20 Feb 2023
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Jaemoo Choi, Yesom Park, Myungjoo Kang
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20 Feb 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
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17 Feb 2023
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16 Feb 2023
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15 Feb 2023
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13 Feb 2023
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UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
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9 Feb 2023
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8 Feb 2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
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8 Feb 2023
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7 Feb 2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation
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6 Feb 2023
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AAAI 2023. [Paper]
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5 Feb 2023
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1 Feb 2023
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NeurIPS 2023. [Paper]
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Ying Fan, Kangwook Lee
arXiv 2023. [Paper]
31 Jan 2023
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arXiv 2023. [Paper]
31 Jan 2023
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
Shengmeng Li, Luping Liu, Zenghao Chai, Runnan Li, Xu Tan
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Soobin Um, Jong Chul Ye
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29 Jan 2023
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27 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee, Beomsu Kim, Jong Chul Ye
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27 Jan 2023
On the Importance of Noise Scheduling for Diffusion Models
Ting Chen
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26 Jan 2023
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Emiel Hoogeboom, Jonathan Heek, Tim Salimans
arXiv 2023. [Paper]
26 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello, Diego Valsesia, Enrico Magli
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19 Jan 2023
Exploring Transformer Backbones for Image Diffusion Models
Princy Chahal
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27 Dec 2022
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Zijian Zhang, Zhou Zhao, Zhijie Lin
arXiv 2022. [Paper]
26 Dec 2022
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Allan Jabri, David Fleet, Ting Chen
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22 Dec 2022
Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation
Alex M. Tseng, Tommaso Biancalani, Max Shen, Gabriele Scalia
arXiv 2022. [Paper]
21 Dec 2022
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo
arXiv 2022. [Paper] [Github]
19 Dec 2022
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William Peebles, Saining Xie
arXiv 2022. [Paper] [Project] [Github]
19 Dec 2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee, Susung Hong, Junyoung Seo, Seungryong Kim
arXiv 2022. [Paper] [Project]
17 Dec 2022
Towards Practical Plug-and-Play Diffusion Models
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12 Dec 2022
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Matteo Ferrante, Tommaso Boccato, Nicola Toschi
arXiv 2022. [Paper]
13 Dec 2022
MAGVIT: Masked Generative Video Transformer
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
arXiv 2022. [Paper] Project]
10 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
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arXiv 2022. [Paper]
6 Dec 2022
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Naoki Matsunaga, Masato Ishii, Akio Hayakawa, Kenji Suzuki, Takuya Narihira
arXiv 2022. [Paper]
5 Dec 2022
VIDM: Video Implicit Diffusion Models
Kangfu Mei, Vishal M. Patel
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1 Dec 2022
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Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
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1 Dec 2022
High-Fidelity Guided Image Synthesis with Latent Diffusion Models
Jaskirat Singh, Stephen Gould, Liang Zheng
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30 Nov 2022
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30 Nov 2022
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Hao Phung, Quan Dao, Anh Tran
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29 Nov 2022
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Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon
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28 Nov 2022
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Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
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27 Nov 2022
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24 Nov 2022
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SinDiffusion: Learning a Diffusion Model from a Single Natural Image
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22 Nov 2022
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Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training
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21 Nov 2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
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arXiv 2022. [Paper] [Project]
20 Nov 2022
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
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arXiv 2022. [Paper] [Project] [Github]
13 Nov 2022
Few-shot Image Generation with Diffusion Models
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2022. [Paper]
7 Nov 2022
From Denoising Diffusions to Denoising Markov Models
Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper] [Github]
7 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
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NeurIPS 2022. [Paper] [Github]
4 Nov 2022
An optimal control perspective on diffusion-based generative modeling
Julius Berner, Lorenz Richter, Karen Ullrich
NeurIPS Workshop 2022. [Paper]
2 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry Vetrov, Evgeny Burnaev
arXiv 2022. [Paper]
2 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
NeurIPS 2022 (Oral). [Paper] [Github]
2 Nov 2022
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models
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NeurIPS Workshop 2022. [Paper]
21 Oct 2022
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle, Zhengyang Geng, Zico Kolter
NeurIPS 2022. [Paper] [Github]
23 Oct 2022
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Jeremias Traub
arXiv 2022. [Paper] [Github]
20 Oct 2022
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arXiv 2022. [Paper] [Project]
12 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn, Arash Vahdat, Karsten Kreis
NeurIPS 2022. [Paper] [Project [Github]
11 Oct 2022
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
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arXiv 2022. [Paper] [Project]
10 Oct 2022
On Distillation of Guided Diffusion Models
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arXiv 2022. [Paper]
6 Oct 2022
Improving Sample Quality of Diffusion Model Using Self-Attention Guidance
Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim
arXiv 2022. [Paper] [Project]
3 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Shlomo Lutati, Lior Wolf
arXiv 2022. [Paper] [Github]
2 Oct 2022
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2
Ali Borji
arXiv 2022. [Paper] [Github]
2 Oct 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models
Beomsu Kim, Jong Chul Ye
arXiv 2022. [Paper] [Github]
29 Sep 2022
All are Worth Words: a ViT Backbone for Score-based Diffusion Models
Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu
arXiv 2022. [Paper]
25 Sep 2022
Neural Wavelet-domain Diffusion for 3D Shape Generation
Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu
arXiv 2022. [Paper]
19 Sep 2022
Can segmentation models be trained with fully synthetically generated data?
Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S Graham, Tom Vercauteren, M Jorge Cardoso
arXiv 2022. [Paper]
17 Sep 2022
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Emiel Hoogeboom, Tim Salimans
arXiv 2022. [Paper]
12 Sep 2022
Soft Diffusion: Score Matching for General Corruptions
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arXiv 2022. [Paper]
12 Sep 2022
Improved Masked Image Generation with Token-Critic
José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
arXiv 2022. [Paper]
9 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
arXiv 2022. [Paper]
31 Aug 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
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arXiv 2022. [Paper]
29 Aug 2022
Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model
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26 Aug 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
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19 Aug 2022
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Bahjat Kawar, Roy Ganz, Michael Elad
arXiv 2022. [Paper]
18 Aug 2022
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16 Aug 2022
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Ki-Ung Song
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15 Aug 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen, Ruixiang Zhang, Geoffrey Hinton
arXiv 2022. [Paper]
8 Aug 2022
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Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
3 Aug 2022
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis
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16 Jul 2022
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Troy Luhman, Eric Luhman
arXiv 2022. [Paper] [Github]
9 Jul 2022
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5 Jul 2022
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arxiv 2022. [Paper]
29 Jun 2022
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23 Jun 2022
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21 Jun 2022
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17 Jun 2022
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17 Jun 2022
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17 Jun 2022
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16 Jun 2022
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15 Jun 2022
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15 Jun 2022
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15 Jun 2022
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11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
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10 Jun 2022
Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models
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10 Jun 2022
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8 Jun 2022
Diffusion-GAN: Training GANs with Diffusion
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5 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
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2 Jun 2022
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1 Jun 2022
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31 May 2022
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30 May 2022
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30 May 2022
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27 May 2022
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23 May 2022
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19 May 2022
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models
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8 May 2022
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3 May 2022
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29 Apr 2022
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25 Apr 2022
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7 Apr 2022
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1 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models
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arXiv 2022. [Paper]
31 Mar 2022
Diffusion Models for Counterfactual Explanations
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
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29 Mar 2022
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
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27 Mar 2022
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16 Mar 2022
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Yaniv Benny, Lior Wolf
CVPR 2022. [Paper]
8 Mar 2022
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arXiv 2022. [Paper]
27 Feb 2022
Diffusion Causal Models for Counterfactual Estimation
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PMLR 2022. [Paper]
21 Feb 2022
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ICLR 2022. [Paper] [Github]
20 Feb 2022
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Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
arXiv 2022. [Paper]
19 Feb 2022
Understanding DDPM Latent Codes Through Optimal Transport
Valentin Khrulkov, Ivan Oseledets
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14 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
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ICLR 2022. [Paper]
11 Feb 2022
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10 Feb 2022
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ICLR 2022. [Paper]
1 Feb 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
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17 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
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2 Jan 2022
Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives
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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
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20 Dec 2021
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20 Dec 2021
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17 Dec 2021
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16 Dec 2021
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Zhisheng Xiao, Karsten Kreis, Arash Vahdat
arXiv 2021. [Paper] [Project]
15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
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14 Dec 2021
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10 Dec 2021
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arXiv 2021. [Paper]
3 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
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30 Dec 2021
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26 Nov 2021
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
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24 Nov 2021
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14 Oct 2021
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10 Oct 2021
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7 Oct 2021
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1 Oct 2021
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NeurIPS Workshop 2021. [Paper]
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26 Aug 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
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ICCV 2021 (Oral). [Paper] [Github]
6 Aug 2021
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2 Aug 2021
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1 Jul 2021
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ICML Workshop 2021. [Paper]
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19 Jun 2021
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arXiv 2021. [Paper] [Project]
14 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon
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12 Jun 2021
Score-based Generative Modeling in Latent Space
Arash Vahdat, Karsten Kreis, Jan Kautz
arXiv 2021. [Paper]
10 Jun 2021
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arXiv 2021. [Paper]
7 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
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5 Jun 2021
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
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ICML 2022. [Paper]
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Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
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1 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models
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ICML Workshop 2021. [Paper] [Github]
31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
JMLR 2021. [Paper] [Project]
30 May 2021
Gotta Go Fast When Generating Data with Score-Based Models
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas
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28 May 2021
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alex Nichol
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11 May 2021
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Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
arXiv 2021. [Paper] [Project] [Github]
15 Apr 2021
Noise Estimation for Generative Diffusion Models
Robin San-Roman, Eliya Nachmani, Lior Wolf
arXiv 2021. [Paper]
6 Apr 2021
Improved Denoising Diffusion Probabilistic Models
Alex Nichol, Prafulla Dhariwal
ICLR 2021. [Paper] [Github]
18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song, Conor Durkan, Iain Murray, Stefano Ermon
arXiv 2021. [Paper]
22 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman, Troy Luhman
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7 Jan 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma
ICLR 2021. [Paper] [Github]
15 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole
ICLR 2021 (Oral). [Paper] [Github]
26 Nov 2020
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ICML 2021. [Paper]
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6 Oct 2020
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Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas
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11 Sep 2020
Denoising Diffusion Probabilistic Models
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19 Jun 2020
Improved Techniques for Training Score-Based Generative Models
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12 Jul 2019
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit
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Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models
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DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object Detection
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arXiv 2023. [Paper]
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Denoising Task Routing for Diffusion Models
Byeongjun Park, Sangmin Woo, Hyojun Go, Jin-Young Kim, Changick Kim
arXiv 2023. [Paper]
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Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data
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arXiv 2023. [Paper] [Github]
10 Oct 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li
NeurIPS 2023. [Paper] [Github]
23 Sep 2023
Zero-Shot Object Counting with Language-Vision Models
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CVPR 2023. [Paper] [Github]
22 Sep 2023
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
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arXiv 2023. [Paper]
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Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation
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arXiv 2023. [Paper] [Github]
12 Sep 2023
DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection
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7 Sep 2023
Diffusion-based 3D Object Detection with Random Boxes
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21 Aug 2023
DiffusionTrack: Diffusion Model For Multi-Object Tracking
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arXiv 2023. [Paper]
19 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
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15 Aug 2023
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models
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9 Aug 2023
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2 Aug 2023
Diffusion Model for Camouflaged Object Detection
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1 Aug 2023
DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation
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31 Jul 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
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arXiv 2023. [Paper]
31 Jul 2023
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19 Jul 2023
Diffusion Models Beat GANs on Image Classification
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17 Jul 2023
Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector
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16 Jul 2023
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14 Jul 2023
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26 Jun 2023
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Jiachen Lei, Peng Cheng, Zhongjie Ba, Kui Ren
arXiv 2023. [Paper]
20 Jun 2023
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19 Jun 2023
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models
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16 Jun 2023
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15 Jun 2023
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9 Jun 2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
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8 Jun 2023
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2 Jun 2023
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25 May 2023
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24 May 2023
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
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22 May 2023
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20 May 2023
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14 May 2023
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30 Apr 2023
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17 Apr 2023
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17 Apr 2023
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28 Mar 2023
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27 Mar 2023
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27 Mar 2023
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24 Mar 2023
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17 Mar 2023
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7 Feb 2023
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16 Dec 2022
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11 Dec 2022
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21 Nov 2022
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17 Nov 2022
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30 Oct 2022
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25 Oct 2022
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21 Oct 2022
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17 Oct 2022
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28 Oct 2023
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24 Oct 2023
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22 Oct 2023
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19 Oct 2023
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17 Oct 2023
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17 Oct 2023
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15 Oct 2023
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27 Sep 2023
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25 Sep 2023
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22 Sep 2023
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12 Sep 2023
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12 Sep 2023
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8 Sep 2023
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6 Sep 2023
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GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation
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4 Sep 2023
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3 Sep 2023
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31 Aug 2023
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23 Aug 2023
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23 Aug 2023
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18 Aug 2023
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10 Aug 2023
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
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5 Aug 2023
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
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DAVIS: High-Quality Audio-Visual Separation with Generative Diffusion Models
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31 Jul 2023
Pre-Training with Diffusion models for Dental Radiography segmentation
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21 Jul 2023
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5 Jul 2023
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3 Jul 2023
Towards Better Certified Segmentation via Diffusion Models
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7 Jun 2023
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6 Jun 2023
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6 Jun 2023
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4 May 2023
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26 Apr 2023
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22 Mar 2023
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20 Mar 2023
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1 Dec 2022
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Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks
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1 Nov 2022
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arXiv 2023. [Paper]
30 Aug 2023
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
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arXiv 2023. [Paper]
26 Aug 2023
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation
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arXiv 2023. [Paper]
20 Aug 2023
MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance
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arXiv 2023. [Paper] [Project]
19 Aug 2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Zhizhong Wang, Lei Zhao, Wei Xing
arXiv 2023. [Paper]
15 Aug 2023
Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training
Ximing Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu
arXiv 2023. [Paper]
15 Aug 2023
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
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ACM MM 2023. [Paper]
11 Aug 2023
Head Rotation in Denoising Diffusion Models
Andrea Asperti, Gabriele Colasuonno, Antonio Guerra
arXiv 2023. [Paper]
11 Aug 2023
Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models
Ioannis Pikoulis, Panagiotis P. Filntisis, Petros Maragos
arXiv 2023. [Paper]
6 Aug 2023
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
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ICML 2023. [Paper]
4 Aug 2023
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Clinton J. Wang, Polina Golland
ICML Workshop 2023. [Paper] [Project] [Github]
24 Jul 2023
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
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ICCV 2023. [Paper] [Github]
24 Jul 2023
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation
Yipeng Leng, Qiangjuan Huang, Zhiyuan Wang, Yangyang Liu, Haoyu Zhang
arXiv 2023. [Paper]
12 Jul 2023
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
Dan Ruta, Gemma Canet Tarrés, Andrew Gilbert, Eli Shechtman, Nicholas Kolkin, John Collomosse
arXiv 2023. [Paper]
9 Jul 2023
Applying a Color Palette with Local Control using Diffusion Models
Vaibhav Vavilala, David Forsyth
arXiv 2023. [Paper]
6 Jul 2023
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang
arXiv 2023. [Paper] [Project]
5 Jul 2023
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
arXiv 2023. [Paper]
26 Jun 2023
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models
Dar-Yen Chen
arXiv 2023. [Paper] [Github]
15 Jun 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
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ICML 2023. [Paper]
14 Jun 2023
TryOnDiffusion: A Tale of Two UNets
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CVPR 2023. [Paper]
14 Jun 2023
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
7 Jun 2023
DiffSketching: Sketch Control Image Synthesis with Diffusion Models
Qiang Wang, Di Kong, Fengyin Lin, Yonggang Qi
arXiv 2023. [Paper]
30 May 2023
Real-World Image Variation by Aligning Diffusion Inversion Chain
Yuechen Zhang, Jinbo Xing, Eric Lo, Jiaya Jia
arXiv 2023. [Paper]
30 May 2023
Photoswap: Personalized Subject Swapping in Images
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arXiv 2023. [Paper] [Project]
29 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
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arXiv 2023. [Paper] [Github]
25 May 2023
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye
arXiv 2023. [Paper] [Github]
24 May 2023
SAR-to-Optical Image Translation via Thermodynamics-inspired Network
Mingjin Zhang, Jiamin Xu, Chengyu He, Wenteng Shang, Yunsong Li, Xinbo Gao
arXiv 2023. [Paper]
23 May 2023
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang
arXiv 2023. [Paper] [Project] [Github]
11 May 2023
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi
arXiv 2023. [Paper] [Project]
8 May 2023
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Yu Qiao, Xihui Liu
arXiv 2023. [Paper]
24 Apr 2023
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
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CVPR 2023. [Paper] [Project] [Github]
13 Apr 2023
Face Animation with an Attribute-Guided Diffusion Model
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arXiv 2023. [Paper]
6 Apr 2023
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo
arXiv 2023. [Paper]
31 Mar 2023
Training-free Style Transfer Emerges from h-space in Diffusion models
Jaeseok Jeong, Mingi Kwon, Youngjung Uh
arXiv 2023. [Paper] [Project] [Github]
27 Mar 2023
Diffusion-based Target Sampler for Unsupervised Domain Adaptation
Yulong Zhang, Shuhao Chen, Yu Zhang, Jiangang Lu
arXiv 2023. [Paper]
17 Mar 2023
StyO: Stylize Your Face in Only One-Shot
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arXiv 2023. [Paper]
6 Mar 2023
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models
Shidong Cao, Wenhao Chai, Shengyu Hao, Yanting Zhang, Hangyue Chen, Gaoang Wang
arXiv 2023. [Paper]
14 Feb 2023
I2SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar
arXiv 2023. [Paper] [Project]
12 Feb 2023
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion
Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu
arXiv 2023. [Paper]
31 Jan 2023
DiffFace: Diffusion-based Face Swapping with Facial Guidance
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arXiv 2022. [Paper] [Project]
27 Dec 2022
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping
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arXiv 2022. [Paper]
13 Dec 2022
Inversion-Based Creativity Transfer with Diffusion Models
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CVPR 2023. [Paper] [Github]
23 Nov 2022
Person Image Synthesis via Denoising Diffusion Model
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arXiv 2022. [Paper]
22 Nov 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu, Fernando De la Torre
arXiv 2022. [Paper] [Github-1] [Github-2]
11 Oct 2022
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
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BMVC 2022. [Paper]
4 Oct 2022
Diffusion-based Image Translation using Disentangled Style and Content Representation
Gihyun Kwon, Jong Chul Ye
arXiv 2022. [Paper]
30 Sep 2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
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arXiv 2022. [Paper] [Project]
22 Sep 2022
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Ozan Özdenizci, Robert Legenstein
arXiv 2022. [Paper]
29 Jul 2022
Non-Uniform Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2022. [Paper]
20 Jul 2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models
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arXiv 2022. [Paper]
17 Jul 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
arXiv 2022. [Paper]
14 Jul 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
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arXiv 2022. [Paper] [Github]
15 Jun 2022
Pretraining is All You Need for Image-to-Image Translation
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arXiv 2022. [Paper] [Project] [Github]
25 May 2022
VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge
Bo Li, Kaitao Xue, Bin Liu, Yu-Kun Lai
arXiv 2022. [Paper]
16 May 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
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arXiv 2022. [Paper]
6 Apr 2022
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon
arXiv 2022. [Paper]
16 Mar 2022
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
NeurIPS 2022. [Paper]
27 Jan 2022
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models
Boah Kim, Inhwa Han, Jong Chul Ye
arXiv 2021. [Paper]
9 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
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arXiv 2021. [Paper] [Project]
30 Dec 2021
Conditional Image Generation with Score-Based Diffusion Models
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arXiv 2021. [Paper]
26 Nov 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
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ICCV 2021 (Oral). [Paper] [Github]
6 Aug 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
arXiv 2021. [Paper]
12 Apr 2021
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
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arXiv 2023. [Paper]
30 Oct 2023
Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
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arXiv 2023. [Paper]
26 Oct 2023
From Posterior Sampling to Meaningful Diversity in Image Restoration
Noa Cohen, Hila Manor, Yuval Bahat, Tomer Michaeli
arXiv 2023. [Paper]
24 Oct 2023
Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation
Yanfang Liu, Minglei Yang, Zezhong Zhang, Feng Bao, Yanzhao Cao, Guannan Zhang
arXiv 2023. [Paper]
22 Oct 2023
High-Quality 3D Face Reconstruction with Affine Convolutional Networks
Zhiqian Lin, Jiangke Lin, Lincheng Li, Yi Yuan, Zhengxia Zou
arXiv 2023. [Paper]
22 Oct 2023
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach
Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
arXiv 2023. [Paper]
18 Oct 2023
Towards image compression with perfect realism at ultra-low bitrates
Marlène Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière
arXiv 2023. [Paper]
16 Oct 2023
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
Yitong Jiang, Zhaoyang Zhang, Tianfan Xue, Jinwei Gu
arXiv 2023. [Paper]
16 Oct 2023
Exploring the Design Space of Diffusion Autoencoders for Face Morphing
Zander Blasingame, Chen Liu
arXiv 2023. [Paper]
14 Oct 2023
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT
Wenjun Xia, Yongyi Shi, Chuang Niu, Wenxiang Cong, Ge Wang
arXiv 2023. [Paper]
10 Oct 2023
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models
Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
MICCAI 2023. [Paper] [Github]
3 Oct 2023
Conditional Diffusion Distillation
Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar
arXiv 2023. [Paper]
2 Oct 2023
CommIN: Semantic Image Communications as an Inverse Problem with INN-Guided Diffusion Models
Jiakang Chen, Di You, Deniz Gündüz, Pier Luigi Dragotti
arXiv 2023. [Paper]
2 Oct 2023
Prompt-tuning latent diffusion models for inverse problems
Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio
arXiv 2023. [Paper]
2 Oct 2023
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis
Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks
ICCV 2023. [Paper]
30 Sep 2023
Generating Visual Scenes from Touch
Fengyu Yang, Jiacheng Zhang, Andrew Owens
ICCV 2023. [Paper] [Project]
26 Sep 2023
Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement
Jiancheng Huang, Yifan Liu, Shifeng Chen
arXiv 2023. [Paper]
26 Sep 2023
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation
Tsiry Mayet, Simon Bernard, Clement Chatelain, Romain Herault
arXiv 2023. [Paper]
25 Sep 2023
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation
Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok
arXiv 2023. [Paper]
23 Sep 2023
License Plate Super-Resolution Using Diffusion Models
Sawsan AlHalawani, Bilel Benjdira, Adel Ammar, Anis Koubaa, Anas M. Ali
arXiv 2023. [Paper]
21 Sep 2023
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal
Xiao Feng Zhang, Tian Yi Song, Jia Wei Yao
arXiv 2023. [Paper]
21 Sep 2023
Face Aging via Diffusion-based Editing
Xiangyi Chen, Stéphane Lathuilière
arXiv 2023. [Paper]
20 Sep 2023
PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
Peiqing Yang, Shangchen Zhou, Qingyi Tao, Chen Change Loy
NeurIPS 2023. [Paper] [Github]
19 Sep 2023
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising
Yujin Wang, Lingen Li, Tianfan Xue, Jinwei Gu
arXiv 2023. [Paper]
19 Sep 2023
Gradpaint: Gradient-Guided Inpainting with Diffusion Models
Asya Grechka, Guillaume Couairon, Matthieu Cord
arXiv 2023. [Paper]
18 Sep 2023
AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting
Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian
arXiv 2023. [Paper]
8 Sep 2023
Underwater Image Enhancement by Transformer-based Diffusion Model with Non-uniform Sampling for Skip Strategy
Yi Tang, Takafumi Iwaguchi, Hiroshi Kawasaki
ACM MM 2023. [Paper] [Github]
7 Sep 2023
Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior
Berthy T. Feng, Katherine L. Bouman
arXiv 2023. [Paper]
5 Sep 2023
Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction
Wanyu Bian, Albert Jang, Fang Liu
arXiv 2023. [Paper]
2 Sep 2023
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction
Yu Guan, Chuanming Yu, Shiyu Lu, Zhuoxu Cui, Dong Liang, Qiegen Liu
arXiv 2023. [Paper] [Github]
2 Sep 2023
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution
Charles Laroche, Andrés Almansa, Eva Coupete
arXiv 2023. [Paper] [Github]
1 Sep 2023
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang
arXiv 2023. [Paper]
31 Aug 2023
Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction
Kai Xu, Shiyu Lu, Bin Huang, Weiwen Wu, Qiegen Liu
arXiv 2023. [Paper]
30 Aug 2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang
arXiv 2023. [Paper]
30 Aug 2023
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Ben Fei, Bo Dai, Wanli Ouyang, Yu Qiao, Chao Dong
arXiv 2023. [Paper] [Github]
29 Aug 2023
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang
AAAI 2024. [Paper]
28 Aug 2023
Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction
Weiwen Wu, Yanyang Wang
arXiv 2023. [Paper]
28 Aug 2023
Residual Denoising Diffusion Models
Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu
arXiv 2023. [Paper] [Github]
25 Aug 2023
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model
Xunpeng Yi, Han Xu, Hao Zhang, Linfeng Tang, Jiayi Ma
ICCV 2023. [Paper]
25 Aug 2023
Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model
Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob F Wynne, Tonghe Wang, Chih-Wei Chang, Justin Roper, Jonathon A Nye, Hui Mao, Xiaofeng Yang
arXiv 2023. [Paper]
24 Aug 2023
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan Marinescu
MICCAI 2023. [Paper] [Github]
23 Aug 2023
High-quality Image Dehazing with Diffusion Model
Hu Yu, Jie Huang, Kaiwen Zheng, Man Zhou, Feng Zhao
arXiv 2023. [Paper]
23 Aug 2023
Frequency Compensated Diffusion Model for Real-scene Dehazing
Jing Wang, Songtao Wu, Kuanhong Xu, Zhiqiang Yuan
arXiv 2023. [Paper]
21 Aug 2023
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen
MICCAI 2023. [Paper] [Github]
20 Aug 2023
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement
Shuzhou Yang, Xuanyu Zhang, Yinhuai Wang, Jiwen Yu, Yuhan Wang, Jian Zhang
arXiv 2023. [Paper]
18 Aug 2023
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
Liyan Wang, Qinyu Yang, Cong Wang, Wei Wang, Jinshan Pan, Zhixun Su
arXiv 2023. [Paper]
17 Aug 2023
Monte Carlo guided Diffusion for Bayesian linear inverse problems
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines
arXiv 2023. [Paper]
15 Aug 2023
Geometry of the Visual Cortex with Applications to Image Inpainting and Enhancement
Francesco Ballerin, Erlend Grong
arXiv 2023. [Paper] [Github]
15 Aug 2023
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
arXiv 2023. [Paper]
15 Aug 2023
TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution
Baolin Liu, Zongyuan Yang, Pengfei Wang, Junjie Zhou, Ziqi Liu, Ziyi Song, Yan Liu, Yongping Xiong
AAAI 2024. [Paper]
13 Aug 2023
CLE Diffusion: Controllable Light Enhancement Diffusion Model
Yuyang Yin, Dejia Xu, Chuangchuang Tan, Ping Liu, Yao Zhao, Yunchao Wei
arXiv 2023. [Paper] [Project] [Github]
13 Aug 2023
Diffusion-Augmented Depth Prediction with Sparse Annotations
Jiaqi Li, Yiran Wang, Zihao Huang, Jinghong Zheng, Ke Xian, Zhiguo Cao, Jianming Zhang
arXiv 2023. [Paper]
4 Aug 2023
Painterly Image Harmonization using Diffusion Model
Lingxiao Lu, Jiangtong Li, Junyan Cao, Li Niu, Liqing Zhang
arXiv 2023. [Paper]
4 Aug 2023
Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models
Kyungryun Lee, Won-Ki Jeong
arXiv 2023. [Paper]
3 Aug 2023
Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction
Muhammad U. Mirza, Onat Dalmaz, Hasan A. Bedel, Gokberk Elmas, Yilmaz Korkmaz, Alper Gungor, Salman UH Dar, Tolga Çukur
arXiv 2023. [Paper]
2 Aug 2023
Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models
Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus
MICCAI Workshop 2023. [Paper] [Github]
29 Jul 2023
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement
Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Bjorn Stenger, Tae-Kyun Kim, Wei Liu, Hongdong Li
arXiv 2023. [Paper]
27 Jul 2023
Artifact Restoration in Histology Images with Diffusion Probabilistic Models
Zhenqi He, Junjun He, Jin Ye, Yiqing Shen
arXiv 2023. [Paper] [Github]
26 Jul 2023
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
Zongsheng Yue, Jianyi Wang, Chen Change Loy
arXiv 2023. [Paper] [Github]
23 Jul 2023
Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction
Linchao He, Hongyu Yan, Mengting Luo, Kunming Luo, Wang Wang, Wenchao Du, Hu Chen, Hongyu Yang, Yi Zhang
arXiv 2023. [Paper]
22 Jul 2023
PartDiff: Image Super-resolution with Partial Diffusion Models
Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Haoxin Zheng, Kyunghyun Sung
arXiv 2023. [Paper]
21 Jul 2023
Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap
Dejia Xu, Xingqian Xu, Wenyan Cong, Humphrey Shi, Zhangyang Wang
arXiv 2023. [Paper] [Project]
20 Jul 2023
AnyDoor: Zero-shot Object-level Image Customization
Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, Hengshuang Zhao
arXiv 2023. [Paper] [Project]
18 Jul 2023
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
Yang Zhao, Tingbo Hou, Yu-Chuan Su, Xuhui Jia. Yandong Li, Matthias Grundmann
ICCV 2023. [Paper]
18 Jul 2023
Flow Matching in Latent Space
Quan Dao, Hao Phung, Binh Nguyen, Anh Tran
arXiv 2023. [Paper] [Project]
17 Jul 2023
Identity-Preserving Aging of Face Images via Latent Diffusion Models
Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir Memon
IJCB 2023. [Paper]
17 Jul 2023
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen
arXiv 2023. [Paper]
16 Jul 2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen
arXiv 2023. [Paper]
15 Jul 2023
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization
Kyle Luther, H. Sebastian Seung
arXiv 2023. [Paper]
11 Jul 2023
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
Tong Li, Hansen Feng, Lizhi Wang, Zhiwei Xiong, Hua Huang
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29 Sep 2022
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24 Sep 2022
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23 Sep 2022
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17 Sep 2022
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19 Aug 2022
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29 Jul 2022
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6 Apr 2022
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8 Mar 2022
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3 Feb 2022
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27 Jan 2022
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26 Nov 2021
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DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
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Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis
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LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
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5 Jul 2023
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Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis
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DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy
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DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets
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TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models
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Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models
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29 May 2023
GenerateCT: Text-Guided 3D Chest CT Generation
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25 May 2023
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25 May 2023
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model
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16 May 2023
Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain tumor images
Muhammad Usman Akbar, Wuhao Wang, Anders Eklund
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12 May 2023
Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models
Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee
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11 May 2023
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation
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9 May 2023
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
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6 May 2023
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2 May 2023
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2 May 2023
High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model
Xuan Zhao, Benjamin Hou
MIDL 2023. [Paper]
2 May 2023
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28 Apr 2023
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis
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28 Apr 2023
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26 Apr 2023
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19 Apr 2023
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19 Apr 2023
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12 Apr 2023
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12 Apr 2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
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11 Apr 2023
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11 Apr 2023
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation
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10 Apr 2023
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10 Apr 2023
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
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8 Apr 2023
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8 Apr 2023
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7 Apr 2023
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5 Apr 2023
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4 Apr 2023
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3 Apr 2023
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31 Mar 2023
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding
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28 Mar 2023
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27 Mar 2023
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26 Mar 2023
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24 Mar 2023
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23 Mar 2023
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23 Mar 2023
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22 Mar 2023
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22 Mar 2023
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22 Mar 2023
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21 Mar 2023
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20 Mar 2023
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
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20 Mar 2023
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19 Mar 2023
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18 Mar 2023
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15 Mar 2023
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Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels
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15 Mar 2023
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15 Mar 2023
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14 Mar 2023
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14 Mar 2023
Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays
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11 Mar 2023
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10 Mar 2023
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10 Mar 2023
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7 Mar 2023
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3 Mar 2023
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28 Feb 2023
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31 Jan 2023
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27 Jan 2023
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20 Jan 2023
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19 Jan 2023
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
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12 Jan 2023
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8 Jan 2023
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2 Jan 2023
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
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16 Dec 2022
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21 Oct 2022
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29 Sep 2022
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29 Sep 2022
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20 Jun 2022
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27 Jun 2022
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1 Jun 2022
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8 Mar 2022
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30 Oct 2023
Seeing Through the Conversation: Audio-Visual Speech Separation based on Diffusion Model
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arXiv 2023. [Paper]
30 Oct 2023
Text-to-3D with Classifier Score Distillation
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30 Oct 2023
Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models
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arXiv 2023. [Paper]
28 Oct 2023
SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching
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arXiv 2023. [Paper]
26 Oct 2023
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
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26 Oct 2023
Exploring Iterative Refinement with Diffusion Models for Video Grounding
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26 Oct 2023
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
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arXiv 2023. [Paper]
25 Oct 2023
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
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25 Oct 2023
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts
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25 Oct 2023
Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models
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25 Oct 2023
Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models
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25 Oct 2023
Text Guided Video Editing Competition
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24 Oct 2023
Language-driven Scene Synthesis using Multi-conditional Diffusion Model
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arXiv 2023. [Paper]
24 Oct 2023
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
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23 Oct 2023
SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis
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23 Oct 2023
Matryoshka Diffusion Models
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23 Oct 2023
Large Language Models can Share Images, Too!
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arXiv 2023. [Paper]
23 Oct 2023
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20 Oct 2023
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
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arXiv 2023. [Paper]
20 Oct 2023
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
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NeurIPS 2023. [Paper] [Project]
20 Oct 2023
Localizing and Editing Knowledge in Text-to-Image Generative Models
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20 Oct 2023
TapMo: Shape-aware Motion Generation of Skeleton-free Characters
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19 Oct 2023
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
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19 Oct 2023
DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation
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19 Oct 2023
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
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19 Oct 2023
Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation
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19 Oct 2023
DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
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18 Oct 2023
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
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18 Oct 2023
Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale
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18 Oct 2023
Elucidating The Design Space of Classifier-Guided Diffusion Generation
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17 Oct 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
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17 Oct 2023
GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment
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17 Oct 2023
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17 Oct 2023
LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation
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16 Oct 2023
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Frank Fundel
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16 Oct 2023
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?
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16 Oct 2023
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models
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16 Oct 2023
ViPE: Visualise Pretty-much Everything
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arXiv 2023. [Paper]
16 Oct 2023
TOSS:High-quality Text-guided Novel View Synthesis from a Single Image
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16 Oct 2023
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
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16 Oct 2023
LOVECon: Text-driven Training-Free Long Video Editing with ControlNet
Zhenyi Liao, Zhijie Deng
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15 Oct 2023
PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation
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14 Oct 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
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13 Oct 2023
Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet Hierarchy
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13 Oct 2023
Making Multimodal Generation Easier: When Diffusion Models Meet LLMs
Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu
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13 Oct 2023
R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation
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13 Oct 2023
DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing
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12 Oct 2023
OmniControl: Control Any Joint at Any Time for Human Motion Generation
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arXiv 2023. [Paper] [Project]
12 Oct 2023
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
Xian Liu, Jian Ren, Aliaksandr Siarohin, Ivan Skorokhodov, Yanyu Li, Dahua Lin, Xihui Liu, Ziwei Liu, Sergey Tulyakov
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12 Oct 2023
GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
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arXiv 2023. [Paper]
12 Oct 2023
MotionDirector: Motion Customization of Text-to-Video Diffusion Models
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12 Oct 2023
Interpretable Diffusion via Information Decomposition
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12 Oct 2023
DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model
Xiaofan Li, Yifu Zhang, Xiaoqing Ye
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11 Oct 2023
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
Yingqing He, Shaoshu Yang, Haoxin Chen, Xiaodong Cun, Menghan Xia, Yong Zhang, Xintao Wang, Ran He, Qifeng Chen, Ying Shan
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11 Oct 2023
ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation
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11 Oct 2023
Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models
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arXiv 2023. [Paper]
11 Oct 2023
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else
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11 Oct 2023
Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model
Shiyuan Yang, Xiaodong Chen, Jing Liao
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11 Oct 2023
ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning
Alec Helbling, Evan Montoya, Duen Horng Chau
arXiv 2023. [Paper]
10 Oct 2023
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
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10 Oct 2023
Improving Compositional Text-to-image Generation with Large Vision-Language Models
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10 Oct 2023
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models
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arXiv 2023 [Paper]
9 Oct 2023
FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
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9 Oct 2023
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
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9 Oct 2023
IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts
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9 Oct 2023
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arXiv 2023. [Paper]
5 Oct 2023
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
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arXiv 2023. [Paper]
5 Oct 2023
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints
Chuan Fang, Xiaotao Hu, Kunming Luo, Ping Tan
arXiv 2023. [Paper]
5 Oct 2023
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images
Yanwu Xu, Li Sun, Wei Peng, Shyam Visweswaran, Kayhan Batmanghelich
arXiv 2023. [Paper]
5 Oct 2023
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion
Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva, Vladimir Arkhipkin, Igor Pavlov, Ilya Ryabov, Angelina Kuts, Alexander Panchenko, Andrey Kuznetsov, Denis Dimitrov
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5 Oct 2023
Realistic Speech-to-Face Generation with Speech-Conditioned Latent Diffusion Model with Face Prior
Jinting Wang, Li Liu, Jun Wang, Hei Victor Cheng
arXiv 2023. [Paper]
5 Oct 2023
T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation
Yuze He, Yushi Bai, Matthieu Lin, Wang Zhao, Yubin Hu, Jenny Sheng, Ran Yi, Juanzi Li, Yong-Jin Liu
arXiv 2023. [Paper] [Project] [Github]
4 Oct 2023
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts
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arXiv 2023. [Paper]
4 Oct 2023
Magicremover: Tuning-free Text-guided Image inpainting with Diffusion Models
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arXiv 2023. [Paper]
4 Oct 2023
ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF
Jangho Park, Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
4 Oct 2023
SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D
Weiyu Li, Rui Chen, Xuelin Chen, Ping Tan
arXiv 2023. [Paper] [Project]
4 Oct 2023
EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods
Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi
arXiv 2023. [Paper] [Project] [Github]
3 Oct 2023
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
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arXiv 2023. [Paper]
3 Oct 2023
Amazing Combinatorial Creation: Acceptable Swap-Sampling for Text-to-Image Generation
Jun Li, Zedong Zhang, Jian Yang
arXiv 2023. [Paper] [Project]
3 Oct 2023
Transcending Domains through Text-to-Image Diffusion: A Source-Free Approach to Domain Adaptation
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arXiv 2023. [Paper]
2 Oct 2023
Conditional Diffusion Distillation
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arXiv 2023. [Paper]
2 Oct 2023
Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
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arXiv 2023. [Paper]
2 Oct 2023
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arXiv 2023. [Paper]
2 Oct 2023
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
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2 Oct 2023
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
Hyeonho Jeong, Jong Chul Ye
arXiv 2023. [Paper] [Github]
2 Oct 2023
Music- and Lyrics-driven Dance Synthesis
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30 Sep 2023
DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models
Zhiyao Sun, Tian Lv, Sheng Ye, Matthieu Gaetan Lin, Jenny Sheng, Yu-Hui Wen, Minjing Yu, Yong-jin Liu
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30 Sep 2023
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James Kwok, Ping Luo, Huchuan Lu, Zhenguo Li
arXiv 2023. [Paper] [Project] [Github]
30 Sep 2023
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa
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30 Sep 2023
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis
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30 Sep 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Kevin Clark, Paul Vicol, Kevin Swersky, David J Fleet
arXiv 2023. [Paper]
29 Sep 2023
Text-image Alignment for Diffusion-based Perception
Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona
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29 Sep 2023
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Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li
arXiv 2023. [Paper] [Project] [Github]
29 Sep 2023
KV Inversion: KV Embeddings Learning for Text-Conditioned Real Image Action Editing
Jiancheng Huang, Yifan Liu, Jin Qin, Shifeng Chen
arXiv 2023. [Paper]
28 Sep 2023
CCEdit: Creative and Controllable Video Editing via Diffusion Models
Ruoyu Feng, Wenming Weng, Yanhui Wang, Yuhui Yuan, Jianmin Bao, Chong Luo, Zhibo Chen, Baining Guo
arXiv 2023. [Paper]
28 Sep 2023
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
David Junhao Zhang, Jay Zhangjie Wu, Jia-Wei Liu, Rui Zhao, Lingmin Ran, Yuchao Gu, Difei Gao, Mike Zheng Shou
arXiv 2023. [Paper]
27 Sep 2023
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
Kai Wang, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer
arXiv 2023. [Paper]
27 Sep 2023
DreamCom: Finetuning Text-guided Inpainting Model for Image Composition
Lingxiao Lu, Bo Zhang, Li Niu
arXiv 2023. [Paper]
27 Sep 2023
Learning Using Generated Privileged Information by Text-to-Image Diffusion Models
Rafael-Edy Menadil, Mariana-Iuliana Georgescu, Radu Tudor Ionescu
arXiv 2023. [Paper]
26 Sep 2023
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
Yaohui Wang, Xinyuan Chen, Xin Ma, Shangchen Zhou, Ziqi Huang, Yi Wang, Ceyuan Yang, Yinan He, Jiashuo Yu, Peiqing Yang, Yuwei Guo, Tianxing Wu, Chenyang Si, Yuming Jiang, Cunjian Chen, Chen Change Loy, Bo Dai, Dahua Lin, Yu Qiao, Ziwei Liu
arXiv 2023. [Paper] [Project]
26 Sep 2023
Learning Using Generated Privileged Information by Text-to-Image Diffusion Models
Rafael-Edy Menadil, Mariana-Iuliana Georgescu, Radu Tudor Ionescu
arXiv 2023. [Paper]
26 Sep 2023
FEC: Three Finetuning-free Methods to Enhance Consistency for Real Image Editing
Songyan Chen, Jiancheng Huang
arXiv 2023. [Paper]
26 Sep 2023
Navigating Text-To-Image Customization:From LyCORIS Fine-Tuning to Model Evaluation
Shin-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard B W Yang, Giyeong Oh, Yanmin Gong
arXiv 2023. [Paper]
26 Sep 2023
Text-image guided Diffusion Model for generating Deepfake celebrity interactions
Yunzhuo Chen, Nur Al Hasan Haldar, Naveed Akhtar, Ajmal Mian
arXiv 2023. [Paper]
26 Sep 2023
Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
Hanzhuo Huang, Yufan Feng, Cheng Shi, Lan Xu, Jingyi Yu, Sibei Yang
arXiv 2023. [Paper]
25 Sep 2023
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
Tiep Le, Vasudev Lal, Phillip Howard
arXiv 2023. [Paper]
23 Sep 2023
Zero-Shot Object Counting with Language-Vision Models
Jingyi Xu, Hieu Le, Dimitris Samaras
CVPR 2023. [Paper] [Github]
22 Sep 2023
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
Jiahao Xie, Wei Li, Xiangtai Li, Ziwei Liu, Yew Soon Ong, Chen Change Loy
arXiv 2023. [Paper] [Github]
22 Sep 2023
DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis
Yu Gu, Yianrao Bian, Guangzhi Lei, Chao Weng, Dan Su
arXiv 2023. [Paper]
22 Sep 2023
FreeU: Free Lunch in Diffusion U-Net
Chenyang Si, Ziqi Huang, Yuming Jiang, Ziwei Liu
arXiv 2023. [Paper]
20 Sep 2023
Investigating Personalization Methods in Text to Music Generation
Manos Plitsis, Theodoros Kouzelis, Georgios Paraskevopoulos, Vassilis Katsouros, Yannis Panagakis
arXiv 2023. [Paper] [Project]
20 Sep 2023
Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation
Yatong Bai, Trung Dang, Dung Tran, Kazuhito Koishida, Somayeh Sojoudi
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19 Sep 2023
Forgedit: Text Guided Image Editing via Learning and Forgetting
Shiwen Zhang, Shuai Xiao, Weilin Huang
arXiv 2023. [Paper] [Github]
19 Sep 2023
What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews
Zoe De Simone, Angie Boggust, Arvind Satyanarayan, Ashia Wilson
arXiv 2023. [Paper]
18 Sep 2023
Causal-Story: Local Causal Attention Utilizing Parameter-Efficient Tuning For Visual Story Synthesis
Tianyi Song, Jiuxin Cao, Kun Wang, Bo Liu, Xiaofeng Zhang
arXiv 2023. [Paper]
18 Sep 2023
Progressive Text-to-Image Diffusion with Soft Latent Direction
YuTeng Ye, Jiale Cai, Hang Zhou, Guanwen Li, Youjia Zhang, Zikai Song, Chenxing Gao, Junqing Yu, Wei Yang
arXiv 2023. [Paper]
18 Sep 2023
LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation
Yihao Zhi, Xiaodong Cun, Xuelin Chen, Xi Shen, Wen Guo, Shaoli Huang, Shenghua Gao
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17 Sep 2023
PromptTTS++: Controlling Speaker Identity in Prompt-Based Text-to-Speech Using Natural Language Descriptions
Reo Shimizu, Ryuichi Yamamoto, Masaya Kawamura, Yuma Shirahata, Hironori Doi, Tatsuya Komatsu, Kentaro Tachibana
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15 Sep 2023
AV2Wav: Diffusion-Based Re-synthesis from Continuous Self-supervised Features for Audio-Visual Speech Enhancement
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14 Sep 2023
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models
James Burgess, Kuan-Chieh Wang, Serena Yeung
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14 Sep 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
arXiv 2023. [Paper]
14 Sep 2023
Large-Vocabulary 3D Diffusion Model with Transformer
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arXiv 2023. [Paper] [Project] [Github]
14 Sep 2023
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks
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arXiv 2023. [Paper]
14 Sep 2023
Diffusion models for audio semantic communication
Eleonora Grassucci, Christian Marinoni, Andrea Rodriguez, Danilo Comminiello
arXiv 2023. [Paper]
13 Sep 2023
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models
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13 Sep 2023
DCTTS: Discrete Diffusion Model with Contrastive Learning for Text-to-speech Generation
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13 Sep 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
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12 Sep 2023
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
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ICCV 2023. [Paper]
12 Sep 2023
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
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arXiv 2023. [Paper]
12 Sep 2023
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
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arXiv 2023. [Paper] [Project]
11 Sep 2023
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud
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11 Sep 2023
Diffusion-Based Co-Speech Gesture Generation Using Joint Text and Audio Representation
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ICMI 2023. [Paper]
11 Sep 2023
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ICCV 2023. [Paper]
10 Sep 2023
Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning
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arXiv 2023. [Paper]
10 Sep 2023
Text-driven Editing of 3D Scenes without Retraining
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arXiv 2023. [Paper]
10 Sep 2023
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion
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arXiv 2023. [Paper]
8 Sep 2023
Create Your World: Lifelong Text-to-Image Diffusion
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8 Sep 2023
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask
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8 Sep 2023
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers
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arXiv 2023. [Paper] [Project]
8 Sep 2023
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models
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arXiv 2023. [Paper]
8 Sep 2023
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
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7 Sep 2023
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7 Sep 2023
Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model
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7 Sep 2023
Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
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7 Sep 2023
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7 Sep 2023
MCM: Multi-condition Motion Synthesis Framework for Multi-scenario
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arXiv 2023. [Paper]
6 Sep 2023
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
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6 Sep 2023
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ICCV 2023. [Paper]
5 Sep 2023
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4 Sep 2023
VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders
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3 Sep 2023
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2 Sep 2023
MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation
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2 Sep 2023
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1 Sep 2023
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models
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arXiv 2023. [Paper]
1 Sep 2023
PathLDM: Text conditioned Latent Diffusion Model for Histopathology
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1 Sep 2023
VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation
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1 Sep 2023
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CBMI 2023. [Paper]
31 Aug 2023
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31 Aug 2023
MVDream: Multi-view Diffusion for 3D Generation
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31 Aug 2023
Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models
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30 Aug 2023
DiffusionVMR: Diffusion Model for Video Moment Retrieval
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29 Aug 2023
C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model
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29 Aug 2023
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28 Aug 2023
Priority-Centric Human Motion Generation in Discrete Latent Space
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28 Aug 2023
SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation
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BMVC 2023. [Paper] [Github]
27 Aug 2023
Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models
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26 Aug 2023
ORES: Open-vocabulary Responsible Visual Synthesis
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26 Aug 2023
The DiffuseStyleGesture+ entry to the GENEA Challenge 2023
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26 Aug 2023
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25 Aug 2023
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25 Aug 2023
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24 Aug 2023
APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency
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24 Aug 2023
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23 Aug 2023
DF-3DFace: One-to-Many Speech Synchronized 3D Face Animation with Diffusion
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23 Aug 2023
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
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arXiv 2023. [Paper] [Github]
22 Aug 2023
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment
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22 Aug 2023
MusicJam: Visualizing Music Insights via Generated Narrative Illustrations
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arXiv 2023. [Paper]
22 Aug 2023
TADA! Text to Animatable Digital Avatars
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21 Aug 2023
EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints
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21 Aug 2023
Backdooring Textual Inversion for Concept Censorship
Yutong Wu, Jie Zhang, Florian Kerschbaum, Tianwei Zhang
arXiv 2023. [Paper] [Project] [Github]
21 Aug 2023
AltDiffusion: A Multilingual Text-to-Image Diffusion Model
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AAAI 2024. [Paper] [Github]
19 Aug 2023
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability
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ICCV 2023. [Paper]
18 Aug 2023
MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR
Xudong Xu, Zhaoyang Lyu, Xingang Pan, Bo Dai
arXiv 2023. [Paper] [Project]
18 Aug 2023
Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization
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arXiv 2023. [Paper] [Project] [Github]
18 Aug 2023
Guide3D: Create 3D Avatars from Text and Image Guidance
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18 Aug 2023
Language-Guided Diffusion Model for Visual Grounding
Sijia Chen, Baochun Li
arXiv 2023. [Paper]
18 Aug 2023
SimDA: Simple Diffusion Adapter for Efficient Video Generation
Zhen Xing, Qi Dai, Han Hu, Zuxuan Wu, Yu-Gang Jiang
arXiv 2023. [Paper] [Project]
18 Aug 2023
StableVideo: Text-driven Consistency-aware Diffusion Video Editing
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ICCV 2023. [Paper] [Github]
18 Aug 2023
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Yuanzhi Wang, Yong Li, Xin Liu, Anbo Dai, Antoni Chan, Zhen Cui
arXiv 2023. [Paper]
17 Aug 2023
Watch Your Steps: Local Image and Scene Editing by Text Instructions
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
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17 Aug 2023
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis
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ICCV 2023. [Paper] [Project] [Github]
16 Aug 2023
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
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arXiv 2023. [Paper] [Project]
16 Aug 2023
Dual-Stream Diffusion Net for Text-to-Video Generation
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arXiv 2023. [Paper]
16 Aug 2023
DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding
Jeongsoo Choi, Joanna Hong, Yong Man Ro
arXiv 2023. [Paper]
15 Aug 2023
SGDiff: A Style Guided Diffusion Model for Fashion Synthesis
Zhengwentai Sun, Yanghong Zhou, Honghong He, P. Y. Mok
ACM MM 2023. [Paper]
15 Aug 2023
Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model
Bosheng Qin, Wentao Ye, Qifan Yu, Siliang Tang, Yueting Zhuang
arXiv 2023. [Paper]
15 Aug 2023
Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage
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ICCV Workshop 2023. [Paper]
14 Aug 2023
Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image Translation
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ACM MM 2023. [Paper]
14 Aug 2023
UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain Activity
Weijian Mai, Zhijun Zhang
arXiv 2023. [Paper]
14 Aug 2023
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks
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13 Aug 2023
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, Wei Yang
arXiv 2023. [Paper] [Project] [Github]
13 Aug 2023
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts
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13 Aug 2023
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arXiv 2023. [Paper]
12 Aug 2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
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arXiv 2023. [Paper] [Project] [Github]
11 Aug 2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning
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ICCV 2023. [Paper] [Github]
11 Aug 2023
Masked-Attention Diffusion Guidance for Spatially Controlling Text-to-Image Generation
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11 Aug 2023
Audio is all in one: speech-driven gesture synthetics using WavLM pre-trained model
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arXiv 2023. [Paper]
11 Aug 2023
Zero-shot Text-driven Physically Interpretable Face Editing
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11 Aug 2023
PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions
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9 Aug 2023
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation
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arXiv 2023. [Paper] [Project]
9 Aug 2023
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On
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arXiv 2023. [Paper]
8 Aug 2023
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion
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arXiv 2023. [Paper]
8 Aug 2023
FLIRT: Feedback Loop In-context Red Teaming
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
arXiv 2023. [Paper]
8 Aug 2023
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis
Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang
arXiv 2023. [Paper] [Project] [Github]
7 Aug 2023
AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose
Huichao Zhang, Bowen Chen, Hao Yang, Liao Qu, Xu Wang, Li Chen, Chao Long, Feida Zhu, Kang Du, Min Zheng
arXiv 2023. [Paper] [Project]
7 Aug 2023
Towards Scene-Text to Scene-Text Translation
Onkar Susladkar, Prajwal Gatti, Anand Mishra
arXiv 2023. [Paper]
6 Aug 2023
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
Zijie Wu, Yaonan Wang, Mingtao Feng, He Xie, Ajmal Mian
arXiv 2023. [Paper]
5 Aug 2023
ConceptLab: Creative Generation using Diffusion Prior Constraints
Elad Richardson, Kfir Goldberg, Yuval Alaluf, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
3 Aug 2023
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
Jianxin Lin, Peng Xiao, Yijun Wang, Rongju Zhang, Xiangxiang Zeng
arXiv 2023. [Paper]
3 Aug 2023
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling
Zhao Yang, Bing Su, Ji-Rong Wen
ACM MM 2023. [Paper] [Github]
3 Aug 2023
Reverse Stable Diffusion: What prompt was used to generate this image?
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah
arXiv 2023. [Paper]
2 Aug 2023
Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion
Zixuan Ni, Longhui Wei, Jiacheng Li, Siliang Tang, Yueting Zhuang, Qi Tian
arXiv 2023. [Paper]
2 Aug 2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
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2 Aug 2023
The Bias Amplification Paradox in Text-to-Image Generation
Preethi Seshadri, Sameer Singh, Yanai Elazar
arXiv 2023. [Paper]
1 Aug 2023
BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models
Jordan Vice, Naveed Akhtar, Richard Hartley, Ajmal Mian
arXiv 2023. [Paper] [Github] [Dataset]
31 Jul 2023
MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text
Junchen Zhu, Huan Yang, Wenjing Wang, Huiguo He, Zixi Tuo, Yongsheng Yu, Wen-Huang Cheng, Lianli Gao, Jingkuan Song, Jianlong Fu, Jiebo Luo
arXiv 2023. [Paper]
31 Jul 2023
DAVIS: High-Quality Audio-Visual Separation with Generative Diffusion Models
Chao Huang, Susan Liang, Yapeng Tian, Anurag Kumar, Chenliang Xu
arXiv 2023. [Paper]
31 Jul 2023
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
Yuxin Mao, Jing Zhang, Mochu Xiang, Yunqiu Lv, Yiran Zhong, Yuchao Dai
arXiv 2023. [Paper]
31 Jul 2023
HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation
Jinbo Wu, Xiaobo Gao, Xing Liu, Zhengyang Shen, Chen Zhao, Haocheng Feng, Jingtuo Liu, Errui Ding
arXiv 2023. [Paper]
30 Jul 2023
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals
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arXiv 2023. [Paper]
27 Jul 2023
VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet
Zhihao Hu, Dong Xu
arXiv 2023. [Paper] [Project]
26 Jul 2023
Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation
Chaohui Yu, Qiang Zhou, Jingliang Li, Zhe Zhang, Zhibin Wang, Fan Wang
arXiv 2023. [Paper]
26 Jul 2023
Visual Instruction Inversion: Image Editing via Visual Prompting
Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
arXiv 2023. [Paper] [Project] [Github]
26 Jul 2023
Composite Diffusion | whole >= \Sigma parts
Vikram Jamwal, Ramaneswaran S
arXiv 2023. [Paper]
25 Jul 2023
Fashion Matrix: Editing Photos by Just Talking
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arXiv 2023. [Paper] [Project] [Github]
25 Jul 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
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24 Jul 2023
InFusion: Inject and Attention Fusion for Multi Concept Zero-Shot Text-based Video Editing
Anant Khandelwal
ICCV Workshop 2023. [Paper]
22 Jul 2023
Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning
Jian Ma, Junhao Liang, Chen Chen, Haonan Lu
arXiv 2023. [Paper] [Project] [Github]
21 Jul 2023
Divide & Bind Your Attention for Improved Generative Semantic Nursing
Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
arXiv 2023. [Paper] [Project]
20 Jul 2023
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan
arXiv 2023. [Paper]
20 Jul 2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
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20 Jul 2023
Text2Layer: Layered Image Generation using Latent Diffusion Model
Xinyang Zhang, Wentian Zhao, Xin Lu, Jeff Chien
arXiv 2023. [Paper]
19 Jul 2023
FABRIC: Personalizing Diffusion Models with Iterative Feedback
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arXiv 2023. [Paper]
19 Jul 2023
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
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arXiv 2023. [Paper] [Project] [Github]
19 Jul 2023
Multimodal Diffusion Segmentation Model for Object Segmentation from Manipulation Instructions
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arXiv 2023. [Paper]
17 Jul 2023
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
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ICCV 2023. [Paper] [Github]
17 Jul 2023
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
Alessandro Flaborea, Luca Collorone, Guido D'Amely, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso
arXiv 2023. [Paper]
14 Jul 2023
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman
arXiv 2023. [Paper] [Project] [Github]
13 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation
Guoqiang Zhang, J. P. Lewis, W. Bastiaan Kleijn
arXiv 2023. [Paper]
10 Jul 2023
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, Bo Dai
arXiv 2023. [Paper] [Project] [Github]
10 Jul 2023
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback
Jaskirat Singh, Liang Zheng
arXiv 2023. [Paper] [Project] [Github]
10 Jul 2023
Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion
Jie S. Li, Yow-Ting Shiue, Yong-Siang Shih, Jonas Geiping
arXiv 2023. [Paper]
9 Jul 2023
Measuring the Success of Diffusion Models at Imitating Human Artists
Stephen Casper, Zifan Guo, Shreya Mogulothu, Zachary Marinov, Chinmay Deshpande, Rui-Jie Yew, Zheng Dai, Dylan Hadfield-Menell
ICML Workshop 2023. [Paper]
8 Jul 2023
How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models
Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris Metaxas, Shiqing Ma
arXiv 2023. [Paper]
6 Jul 2023
Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
arXiv 2023. [Paper] [Project] [Github]
4 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
arXiv 2023. [Paper] [Github]
4 Jul 2023
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
Shitao Tang, Fuyang Zhang, Jiacheng Chen, Peng Wang, Yasutaka Furukawa
arXiv 2023. [Paper] [Project]
3 Jul 2023
Counting Guidance for High Fidelity Text-to-Image Synthesis
Wonjun Kang, Kevin Galim, Hyung Il Koo
arXiv 2023. [Paper]
30 Jun 2023
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao
arXiv 2023. [Paper]
29 Jun 2023
Generate Anything Anywhere in Any Scene
Yuheng Li, Haotian Liu, Yangming Wen, Yong Jae Lee
arXiv 2023. [Paper] [Project]
29 Jun 2023
Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
Simian Luo, Chuanhao Yan, Chenxu Hu, Hang Zhao
arXiv 2023. [Paper] [Github]
29 Jun 2023
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing
Wenjing Huang, Shikui Tu, Lei Xu
arXiv 2023. [Paper]
28 Jun 2023
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
Ximing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu
arXiv 2023. [Paper]
26 Jun 2023
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis
Aishwarya Agarwal, Srikrishna Karanam, K J Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan
arXiv 2023. [Paper]
26 Jun 2023
Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models
Luozhou Wang, Guibao Shen, Yijun Li, Ying-cong Chen
arXiv 2023. [Paper]
26 Jun 2023
Zero-shot spatial layout conditioning for text-to-image diffusion models
Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek
arXiv 2023. [Paper]
23 Jun 2023
DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation
Yukun Huang, Jianan Wang, Yukai Shi, Xianbiao Qi, Zheng-Jun Zha, Lei Zhang
arXiv 2023. [Paper]
21 Jun 2023
Align, Adapt and Inject: Sound-guided Unified Image Generation
Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo
arXiv 2023. [Paper]
20 Jun 2023
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model
Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin
arXiv 2023. [Paper]
20 Jun 2023
RS5M: A Large Scale Vision-Language Dataset for Remote Sensing Vision-Language Foundation Model
Zilun Zhang, Tiancheng Zhao, Yulong Guo, Jianwei Yin
arXiv 2023. [Paper]
20 Jun 2023
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions
Yuqi Sun, Reian He, Weimin Tan, Bo Yan
arXiv 2023. [Paper]
19 Jun 2023
Conditional Text Image Generation with Diffusion Models
Yuanzhi Zhu, Zhaohai Li, Tianwei Wang, Mengchao He, Cong Yao
arXiv 2023. [Paper]
19 Jun 2023
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
Yoni Kasten, Ohad Rahamim, Gal Chechik
arXiv 2023. [Paper]
18 Jun 2023
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
arXiv 2023. [Paper]
16 Jun 2023
Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks
Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng
arXiv 2023. [Paper]
16 Jun 2023
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models
Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian McAuley
arXiv 2023. [Paper]
16 Jun 2023
Taming Diffusion Models for Music-driven Conducting Motion Generation
Zhuoran Zhao, Jinbin Bai, Delong Chen, Debang Wang, Yubo Pan
arXiv 2023. [Paper]
15 Jun 2023
Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis
Shivam Mehta, Siyang Wang, Simon Alexanderson, Jonas Beskow, Éva Székely, Gustav Eje Henter
arXiv 2023. [Paper]
15 Jun 2023
Diffusion Models for Zero-Shot Open-Vocabulary Segmentation
Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht
arXiv 2023. [Paper]
15 Jun 2023
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik
arXiv 2023. [Paper]
15 Jun 2023
Training Multimedia Event Extraction With Generated Images and Captions
Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, Boyang Li
arXiv 2023. [Paper]
15 Jun 2023
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing
Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome
arXiv 2023. [Paper]
14 Jun 2023
Norm-guided latent space exploration for text-to-image generation
Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik
arXiv 2023. [Paper]
14 Jun 2023
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue
arXiv 2023. [Paper]
14 Jun 2023
GBSD: Generative Bokeh with Stage Diffusion
Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
arXiv 2023. [Paper]
14 Jun 2023
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
Yongqi Yang, Ruoyu Wang, Zhihao Qian, Ye Zhu, Yu Wu
arXiv 2023. [Paper]
14 Jun 2023
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
Shuai Yang, Yifan Zhou, Ziwei Liu, Chen Change Loy
arXiv 2023. [Paper]
13 Jun 2023
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Xin Zhang, Jiaxian Guo, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
arXiv 2023. [Paper]
13 Jun 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf
arXiv 2023. [Paper]
12 Jun 2023
MovieFactory: Automatic Movie Creation from Text using Large Generative Models for Language and Images
Junchen Zhu, Huan Yang, Huiguo He, Wenjing Wang, Zixi Tuo, Wen-Huang Cheng, Lianli Gao, Jingkuan Song, Jianlong Fu
arXiv 2023. [Paper]
12 Jun 2023
InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions
Jiale Xu, Xintao Wang, Yan-Pei Cao, Weihao Cheng, Ying Shan, Shenghua Gao
arXiv 2023. [Paper]
12 Jun 2023
Language-Guided Traffic Simulation via Scene-Level Diffusion
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray
arXiv 2023. [Paper]
10 Jun 2023
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh Susskind
arXiv 2023. [Paper]
8 Jun 2023
Grounded Text-to-Image Synthesis with Attention Refocusing
Quynh Phung, Songwei Ge, Jia-Bin Huang
arXiv 2023. [Paper]
8 Jun 2023
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
Yuseung Lee, Kunho Kim, Hyunjin Kim, Minhyuk Sung
arXiv 2023. [Paper] [Project] [Github]
8 Jun 2023
Improving Tuning-Free Real Image Editing with Proximal Guidance
Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Yuxiao Chen, Di Liu, Qilong Zhangli, Anastasis Stathopoulos, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris Metaxas
arXiv 2023. [Paper]
8 Jun 2023
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang
arXiv 2023. [Paper]
7 Jun 2023
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
arXiv 2023. [Paper]
7 Jun 2023
Designing a Better Asymmetric VQGAN for StableDiffusion
Zixin Zhu, Xuelu Feng, Dongdong Chen, Jianmin Bao, Le Wang, Yinpeng Chen, Lu Yuan, Gang Hua
arXiv 2023. [Paper] [Github]
7 Jun 2023
Multi-modal Latent Diffusion
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
arXiv 2023. [Paper]
7 Jun 2023
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt
Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
arXiv 2023. [Paper]
7 Jun 2023
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
7 Jun 2023
Stable Diffusion is Unstable
Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu
arXiv 2023. [Paper]
5 Jun 2023
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya
arXiv 2023. [Paper] [Project]
5 Jun 2023
HeadSculpt: Crafting 3D Head Avatars with Text
Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong
arXiv 2023. [Paper] [Project]
5 Jun 2023
Instruct-Video2Avatar: Video-to-Avatar Generation with Instructions
Shaoxu Li
arXiv 2023. [Paper]
5 Jun 2023
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
Shuyu Yang, Yinan Zhou, Yaxiong Wang, Yujiao Wu, Li Zhu, Zhedong Zheng
arXiv 2023. [Paper]
5 Jun 2023
User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques
Sunwoo Kim, Wooseok Jang, Hyunsu Kim, Junho Kim, Yunjey Choi, Seungryong Kim, Gayeong Lee
arXiv 2023. [Paper]
5 Jun 2023
Detector Guidance for Multi-Object Text-to-Image Generation
Luping Liu, Zijian Zhang, Yi Ren, Rongjie Huang, Xiang Yin, Zhou Zhao
arXiv 2023. [Paper]
4 Jun 2023
VideoComposer: Compositional Video Synthesis with Motion Controllability
Xiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou
NeruIPS 2023. [Paper] [Project] [Github]
3 Jun 2023
Word-Level Explanations for Analyzing Bias in Text-to-Image Models
Alexander Lin, Lucas Monteiro Paes, Sree Harsha Tanneru, Suraj Srinivas, Himabindu Lakkaraju
arXiv 2023. [Paper]
3 Jun 2023
Efficient Text-Guided 3D-Aware Portrait Generation with Score Distillation Sampling on Distribution
Yiji Cheng, Fei Yin, Xiaoke Huang, Xintong Yu, Jiaxiang Liu, Shikun Feng, Yujiu Yang, Yansong Tang
arXiv 2023. [Paper]
3 Jun 2023
Probabilistic Adaptation of Text-to-Video Models
Mengjiao Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel
arXiv 2023. [Paper] [Project]
2 Jun 2023
Video Colorization with Pre-trained Text-to-Image Diffusion Models
Hanyuan Liu, Minshan Xie, Jinbo Xing, Chengze Li, Tien-Tsin Wong
arXiv 2023. [Paper]
2 Jun 2023
Audio-Visual Speech Enhancement with Score-Based Generative Models
Julius Richter, Simone Frintrop, Timo Gerkmann
arXiv 2023. [Paper]
2 Jun 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models
Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Cardoso
arXiv 2023. [Paper]
2 Jun 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
arXiv 2023. [Paper]
1 Jun 2023
Diffusion Self-Guidance for Controllable Image Generation
Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski
arXiv 2023. [Paper] [Project]
1 Jun 2023
StyleDrop: Text-to-Image Generation in Any Style
Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan
arXiv 2023. [Paper] [Project]
1 Jun 2023
Intriguing Properties of Text-guided Diffusion Models
Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan Yuille
arXiv 2023. [Paper]
1 Jun 2023
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
Chang Liu, Haoning Wu, Yujie Zhong, Xiaoyun Zhang, Weidi Xie
arXiv 2023. [Paper] [Project]
1 Jun 2023
ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation
Shaozhe Hao, Kai Han, Shihao Zhao, Kwan-Yee K. Wong
arXiv 2023. [Paper] [Github]
1 Jun 2023
The Hidden Language of Diffusion Models
Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf
arXiv 2023. [Paper] [Project]
1 Jun 2023
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
arXiv 2023. [Paper] [Project] [Github]
1 Jun 2023
Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance
Jinbo Xing, Menghan Xia, Yuxin Liu, Yuechen Zhang, Yong Zhang, Yingqing He, Hanyuan Liu, Haoxin Chen, Xiaodong Cun, Xintao Wang, Ying Shan, Tien-Tsin Wong
arXiv 2023. [Paper] [Project]
1 Jun 2023
Inserting Anybody in Diffusion Models via Celeb Basis
Ge Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, Huicheng Zheng
arXiv 2023. [Paper] [Project]
1 Jun 2023
Wuerstchen: Efficient Pretraining of Text-to-Image Models
Pablo Pernias, Dominic Rampas, Marc Aubreville
arXiv 2023. [Paper]
1 Jun 2023
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning
Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang
arXiv 2023. [Paper]
1 Jun 2023
FigGen: Text to Scientific Figure Generation
Juan A. Rodriguez, David Vazquez, Issam Laradji, Marco Pedersoli, Pau Rodriguez
ICLR 2023. [Paper]
1 Jun 2023
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images
Peyman Gholami, Robert Xiao
arXiv 2023. [Paper]
31 May 2023
Understanding and Mitigating Copying in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein
CVPR 2023. [Paper] [Github]
31 May 2023
Control4D: Dynamic Portrait Editing by Learning 4D GAN from 2D Diffusion-based Editor
Ruizhi Shao, Jingxiang Sun, Cheng Peng, Zerong Zheng, Boyao Zhou, Hongwen Zhang, Yebin Liu
arXiv 2023. [Paper] [Project]
31 May 2023
Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards
Guian Fang, Zutao Jiang, Jianhua Han, Guansong Lu, Hang Xu, Xiaodan Liang
arXiv 2023. [Paper] [Github]
31 May 2023
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification
Yifei Liu, Rex Shen, Xiaotong Shen
arXiv 2023. [Paper]
30 May 2023
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
Jialu Li, Mohit Bansal
arXiv 2023. [Paper] [Project] [Github]
30 May 2023
Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models
Ernie Chu, Shuo-Yen Lin, Jun-Cheng Chen
arXiv 2023. [Paper]
30 May 2023
Nested Diffusion Processes for Anytime Image Generation
Noam Elata, Bahjat Kawar, Tomer Michaeli, Michael Elad
arXiv 2023. [Paper]
30 May 2023
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang YU, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen
arXiv 2023. [Paper]
30 May 2023
HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance
Junzhe Zhu, Peiye Zhuang
arXiv 2023. [Paper]
30 May 2023
LayerDiffusion: Layered Controlled Image Editing with Diffusion Models
Pengzhi Li, QInxuan Huang, Yikang Ding, Zhiheng Li
arXiv 2023. [Paper]
30 May 2023
Controllable Text-to-Image Generation with GPT-4
Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang
arXiv 2023. [Paper]
29 May 2023
Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models
Zizhao Hu, Mohammad Rostami
NeurIPS 2023. [Paper]
28 May 2023
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo
arXiv 2023. [Paper]
29 May 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou
arXiv 2023. [Paper] [Project]
29 May 2023
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising
Fu-Yun Wang, Wenshuo Chen, Guanglu Song, Han-Jia Ye, Yu Liu, Hongsheng Li
arXiv 2023. [Paper] [Github]
29 May 2023
Text-Only Image Captioning with Multi-Context Data Generation
Feipeng Ma, Yizhou Zhou, Fengyun Rao, Yueyi Zhang, Xiaoyan Sun
arXiv 2023. [Paper]
29 May 2023
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka
arXiv 2023. [Paper]
29 May 2023
Conditional Score Guidance for Text-Driven Image-to-Image Translation
Hyunsoo Lee, Minsoo Kang, Bohyung Han
arXiv 2023. [Paper]
29 May 2023
Text-to-image Editing by Image Information Removal
Zhongping Zhang, Jian Zheng, Jacob Zhiyuan Fang, Bryan A. Plummer
arXiv 2023. [Paper]
27 May 2023
Towards Consistent Video Editing with Text-to-Image Diffusion Models
Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu
arXiv 2023. [Paper]
27 May 2023
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference
Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui
arXiv 2023. [Paper]
27 May 2023
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing
Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
arXiv 2023. [Paper] [Project]
26 May 2023
Improved Visual Story Generation with Adaptive Context Modeling
Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin
arXiv 2023. [Paper]
26 May 2023
Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
Daiki Miyake, Akihiro Iohara, Yu Saito, Toshiyuki Tanaka
arXiv 2023. [Paper]
26 May 2023
Are Diffusion Models Vision-And-Language Reasoners?
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy
arXiv 2023. [Paper] [Github]
25 May 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
arXiv 2023. [Paper]
25 May 2023
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong
arXiv 2023. [Paper] [Project] [Github]
25 May 2023
Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari
arXiv 2023. [Paper] [Github]
25 May 2023
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
SIGGRAPH Asia 2023. [Paper] [Project] [Github]
25 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell
arXiv 2023. [Paper] [Github]
25 May 2023
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi
arXiv 2023. [Paper] [Github]
25 May 2023
ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu
arXiv 2023. [Paper]
25 May 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
arXiv 2023. [Paper] [Project]
25 May 2023
On Architectural Compression of Text-to-Image Diffusion Models
Bo-Kyeong Kim, Hyoung-Kyu Song, Thibault Castells, Shinkook Choi
arXiv 2023. [Paper]
25 May 2023
Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models
Jooyoung Choi, Yunjey Choi, Yunji Kim, Junho Kim, Sungroh Yoon
arXiv 2023. [Paper]
25 May 2023
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
arXiv 2023. [Paper]
24 May 2023
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation
Dongxu Yue, Qin Guo, Munan Ning, Jiaxi Cui, Yuesheng Zhu, Li Yuan
arXiv 2023. [Paper]
24 May 2023
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models
Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn
arXiv 2023. [Paper] [Github]
24 May 2023
I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors
Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan
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24 May 2023
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
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arXiv 2023. [Paper]
24 May 2023
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models
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arXiv 2023. [Paper]
22 May 2023
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models
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arXiv 2023. [Paper]
23 May 2023
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
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arXiv 2023. [Paper]
23 May 2023
Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models
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arXiv 2023. [Paper]
23 May 2023
Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models
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arXiv 2023. [Paper]
23 May 2023
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
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arXiv 2023. [Paper]
23 May 2023
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
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22 May 2023
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering
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22 May 2023
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arXiv 2023. [Paper]
22 May 2023
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection
Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
arXiv 2023. [Paper] [Project]
22 May 2023
ControlVideo: Training-free Controllable Text-to-Video Generation
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arXiv 2023. [Paper] [Github]
22 May 2023
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation
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arXiv 2023. [Paper]
22 May 2023
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arXiv 2023. [Paper]
22 May 2023
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions
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arXiv 2023. [Paper]
21 May 2023
SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters
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arXiv 2023. [Paper]
20 May 2023
Late-Constraint Diffusion Guidance for Controllable Image Synthesis
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arXiv 2023. [Paper] [Project] [Github]
19 May 2023
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arXiv 2023. [Paper] [Project] [Github]
19 May 2023
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
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arXiv 2023. [Paper]
19 May 2023
Brain Captioning: Decoding human brain activity into images and text
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arXiv 2023. [Paper]
19 May 2023
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots
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arXiv 2023. [Paper]
19 May 2023
Discriminative Diffusion Models as Few-shot Vision and Language Learners
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18 May 2023
Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via Personalization
Yihao Huang, Qing Guo, Felix Juefei-Xu
arXiv 2023. [Paper]
18 May 2023
AIwriting: Relations Between Image Generation and Digital Writing
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ISEA 2023. [Paper]
18 May 2023
TextDiffuser: Diffusion Models as Text Painters
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arXiv 2023. [Paper]
18 May 2023
VideoFactory: Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
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18 May 2023
LDM3D: Latent Diffusion Model for 3D
Gabriela Ben Melech Stan, Diana Wofk, Scottie Fox, Alex Redden, Will Saxton, Jean Yu, Estelle Aflalo, Shao-Yen Tseng, Fabio Nonato, Matthias Muller, Vasudev Lal
arXiv 2023. [Paper]
18 May 2023
X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models
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18 May 2023
Inspecting the Geographical Representativeness of Images from Text-to-Image Models
Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi
arXiv 2023. [Paper]
18 May 2023
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
arXiv 2023. [Paper] [Project]
17 May 2023
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arXiv 2023. [Paper]
16 May 2023
Generating coherent comic with rich story using ChatGPT and Stable Diffusion
Ze Jin, Zorina Song
arXiv 2023. [Paper]
16 May 2023
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta
arXiv 2023. [Paper] [Project]
16 May 2023
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts
Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
arXiv 2023. [Paper] [Project] [Github]
15 May 2023
Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang
arXiv 2023. [Paper]
15 May 2023
Interactive Fashion Content Generation Using LLMs and Latent Diffusion Models
Krishna Sri Ipsit Mantri, Nevasini Sasikumar
arXiv 2023. [Paper]
15 May 2023
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang
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11 May 2023
iEdit: Localised Text-guided Image Editing with Weak Supervision
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arXiv 2023. [Paper]
10 May 2023
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models
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arXiv 2023. [Paper] [Github]
9 May 2023
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
Nisha Huang, Yuxin Zhang, Weiming Dong
arXiv 2023. [Paper]
9 May 2023
DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models
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IJCAI 2023. [Paper] [Github]
8 May 2023
IIITD-20K: Dense captioning for Text-Image ReID
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arXiv 2023. [Paper]
8 May 2023
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi
arXiv 2023. [Paper] [Project]
8 May 2023
Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models
Wenkai Dong, Song Xue, Xiaoyue Duan, Shumin Han
arXiv 2023. [Paper]
8 May 2023
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning
Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su
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7 May 2023
AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion
Seungwoo Lee, Chaerin Kong, Donghyeon Jeon, Nojun Kwak
arXiv 2023. [Paper]
6 May 2023
Data Curation for Image Captioning with Text-to-Image Generative Models
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arXiv 2023. [Paper]
5 May 2023
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
Hong Chen, Yipeng Zhang, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu
arXiv 2023. [Paper] [Project]
5 May 2023
Guided Image Synthesis via Initial Image Editing in Diffusion Model
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arXiv 2023. [Paper]
5 May 2023
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng, Austin Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
arXiv 2023. [Paper] [Project]
4 May 2023
Multimodal-driven Talking Face Generation, Face Swapping, Diffusion Model
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arXiv 2023. [Paper]
4 May 2023
Multimodal Data Augmentation for Image Captioning using Diffusion Models
Changrong Xiao, Sean Xin Xu, Kunpeng Zhang
arXiv 2023. [Paper]
3 May 2023
In-Context Learning Unlocked for Diffusion Models
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arXiv 2023. [Paper] [Project] [Github]
1 May 2023
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis
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arXiv 2023. [Paper]
28 Apr 2023
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arXiv 2023. [Paper]
27 Apr 2023
Edit Everything: A Text-Guided Generative System for Images Editing
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arXiv 2023. [Paper] [Github]
27 Apr 2023
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Jiafeng Mao, Xueting Wang
arXiv 2023. [Paper]
26 Apr 2023
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
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arXiv 2023. [Paper]
24 Apr 2023
Using Text-to-Image Generation for Architectural Design Ideation
Ville Paananen, Jonas Oppenlaender, Aku Visuri
arXiv 2023. [Paper]
20 Apr 2023
Anything-3D: Towards Single-view Anything Reconstruction in the Wild
Qiuhong Shen, Xingyi Yang, Xinchao Wang
arXiv 2023. [Paper] [Github]
19 Apr 2023
UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer
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ICCV Workshop 2023. [Paper] [Github]
18 Apr 2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
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arXiv 2023. [Paper]
18 Apr 2023
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
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CVPR 2023. [Paper] [Project]
18 Apr 2023
Text2Performer: Text-Driven Human Video Generation
Yuming Jiang, Shuai Yang, Tong Liang Koh, Wayne Wu, Chen Change Loy, Ziwei Liu
arXiv 2023. [Paper] [Project]
17 Apr 2023
Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation
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arXiv 2023. [Paper] [Project]
17 Apr 2023
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
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arXiv 2023. [Paper] [Github]
17 Apr 2023
Text-Conditional Contextualized Avatars For Zero-Shot Personalization
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arXiv 2023. [Paper]
14 Apr 2023
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Amir Hertz, Kfir Aberman, Daniel Cohen-Or
arXiv 2023. [Paper] [Project]
14 Apr 2023
Expressive Text-to-Image Generation with Rich Text
Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
arXiv 2023. [Paper] [Project] [Github]
13 Apr 2023
Soundini: Sound-Guided Diffusion for Natural Video Editing
Seung Hyun Lee, Sieun Kim, Innfarn Yoo, Feng Yang, Donghyeon Cho, Youngseo Kim, Huiwen Chang, Jinkyu Kim, Sangpil Kim
arXiv 2023. [Paper] [Project]
13 Apr 2023
Improving Diffusion Models for Scene Text Editing with Dual Encoders
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arXiv 2023. [Paper] [Github]
12 Apr 2023
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
Inbar Huberman-Spiegelglas, Vladimir Kulikov, Tomer Michaeli
arXiv 2023. [Paper]
12 Apr 2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
arXiv 2023. [Paper] [Project]
12 Apr 2023
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
Eslam Mohamed Bakr, Pengzhan Sun, Xiaoqian Shen, Faizan Farooq Khan, Li Erran Li, Mohamed Elhoseiny
arXiv 2023. [Paper] [Project]
11 Apr 2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou
arXiv 2023. [Paper]
11 Apr 2023
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko
arXiv 2023. [Paper]
10 Apr 2023
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation
Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu
arXiv 2023. [Paper] [Github]
9 Apr 2023
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis
Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang
arXiv 2023. [Paper] [Github]
7 Apr 2023
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning
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CVPR 2023. [Paper] [Github]
6 Apr 2023
Training-Free Layout Control with Cross-Attention Guidance
Minghao Chen, Iro Laina, Andrea Vedaldi
arXiv 2023. [Paper] [Project] [Github]
6 Apr 2023
Benchmarking Robustness to Text-Guided Corruptions
Mohammadreza Mofayezi, Yasamin Medghalchi
arXiv 2023. [Paper]
6 Apr 2023
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model
Hoigi Seo, Hayeon Kim, Gwanghyun Kim, Se Young Chun
arXiv 2023. [Paper] [Project]
6 Apr 2023
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
Xuhui Jia, Yang Zhao, Kelvin C.K. Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, Yu-Chuan Su
arXiv 2023. [Paper]
5 Apr 2023
A Diffusion-based Method for Multi-turn Compositional Image Generation
Chao Wang, Xiaoyu Yang, Jinmiao Huang, Kevin Ferreira
arXiv 2023. [Paper]
5 Apr 2023
viz2viz: Prompt-driven stylized visualization generation using a diffusion model
Jiaqi Wu, John Joon Young Chung, Eytan Adar
arXiv 2023. [Paper]
4 Apr 2023
Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing
Alberto Baldrati, Davide Morelli, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
arXiv 2023. [Paper]
4 Apr 2023
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
Gwanghyun Kim, Ji Ha Jang, Se Young Chun
arXiv 2023. [Paper] [Project]
4 Apr 2023
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
arXiv 2023. [Paper]
4 Apr 2023
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
3 Apr 2023
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong
arXiv 2023. [Paper]
3 Apr 2023
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
arXiv 2023. [Paper] [Project]
1 Apr 2023
GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently
Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin
arXiv 2023. [Paper] [Project]
31 Mar 2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
arXiv 2023. [Paper] [Project] [Github]
30 Mar 2023
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi
arXiv 2023. [Paper] [Github]
30 Mar 2023
Social Biases through the Text-to-Image Generation Lens
Ranjita Naik, Besmira Nushi
arXiv 2023. [Paper]
30 Mar 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Eric Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi
arXiv 2023. [Paper] [Github]
30 Mar 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
CVPR 2023. [Paper] [Project]
30 Mar 2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Wen Wang, Kangyang Xie, Zide Liu, Hao Chen, Yue Cao, Xinlong Wang, Chunhua Shen
arXiv 2023. [Paper]
30 Mar 2023
Discriminative Class Tokens for Text-to-Image Diffusion Models
Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge Belongie
arXiv 2023. [Paper]
30 Mar 2023
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder
Chenpng Du, Qi Chen, Tianyu He, Xu Tan, Xie Chen, Kai Yu, Sheng Zhao, Jiang Bian
arXiv 2023. [Paper]
30 Mar 2023
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
Guangcong Zheng, Xianpan Zhou, Xuewei Li, Zhongang Qi, Ying Shan, Xi Li
CVPR 2023. [Paper] [Github]
30 Mar 2023
4D Facial Expression Diffusion Model
Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo
arXiv 2023. [Paper] [Github]
29 Mar 2023
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka
arXiv 2023. [Paper] [Github]
29 Mar 2023
Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion
Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira
arXiv 2023. [Paper] [Github]
28 Mar 2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
arXiv 2023. [Paper]
28 Mar 2023
Seer: Language Instructed Video Prediction with Latent Diffusion Models
Xianfan Gu, Chuan Wen, Jiaming Song, Yang Gao
CVPR Workshop 2023. [Paper]
27 Mar 2023
Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation
Susung Hong, Donghoon Ahn, Seungryong Kim
arXiv 2023. [Paper]
27 Mar 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc Tran, Anh Tran
SIGGRAPH 2023. [Paper] [Github]
27 Mar 2023
GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents
Tenglong Ao, Zeyi Zhang, Libin Liu
arXiv 2023. [Paper]
26 Mar 2023
Better Aligning Text-to-Image Models with Human Preference
Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, Hongsheng Li
arXiv 2023. [Paper] [Github]
25 Mar 2023
ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
ICLR 2023. [Paper]
24 Mar 2023
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis
Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Nießner
arXiv 2023. [Paper] [Project]
24 Mar 2023
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
Yiqi Lin, Haotian Bai, Sijia Li, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang
arXiv 2023. [Paper] [Project]
24 Mar 2023
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia
arXiv 2023. [Paper]
24 Mar 2023
ReVersion: Diffusion-Based Relation Inversion from Images
Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C.K. Chan, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
arXiv 2023. [Paper] [Github]
23 Mar 2023
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang
arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
Pix2Video: Video Editing using Image Diffusion
Duygu Ceylan, Chun-Hao Paul Huang, Niloy J. Mitra
arXiv 2023. [Paper] [Project]
22 Mar 2023
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
arXiv 2023. [Paper] [Project]
22 Mar 2023
SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung
arXiv 2023. [Paper] [Project]
21 Mar 2023
Vox-E: Text-guided Voxel Editing of 3D Objects
Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor
arXiv 2023. [Paper] [Project]
21 Mar 2023
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
arXiv 2023. [Paper]
21 Mar 2023
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion
Yu-Jhe Li, Kris Kitani
arXiv 2023. [Paper]
21 Mar 2023
Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
arXiv 2023. [Paper] [Project]
20 Mar 2023
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or
arXiv 2023. [Paper] [Project