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.
Contents
- Resources
- Papers
Resources
Introductory Posts
:fast_forward: 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
Introductory Papers
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
Introductory Videos
:fast_forward: 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
Introductory Lectures
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
Tutorial and Jupyter Notebook
:fast_forward: 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]
Papers
Survey
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
Vision
Generation
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
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2 Jun 2023
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation
Nico Giambi, Giuseppe Lisanti
arXiv 2023. [Paper]
1 Jun 2023
Differential Diffusion: Giving Each Pixel Its Strength
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arXiv 2023. [Paper]
1 Jun 2023
Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks
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arXiv 2023. [Paper]
1 Jun 2023
Addressing Negative Transfer in Diffusion Models
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arXiv 2023. [Paper]
1 Jun 2023
A Geometric Perspective on Diffusion Models
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arXiv 2023. [Paper]
31 May 2023
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Gabriel Raya, Luca Ambrogioni
arXiv 2023. [Paper]
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
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
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arXiv 2023. [Paper]
30 May 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
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arXiv 2023. [Paper]
30 May 2023
Towards Accurate Data-free Quantization for Diffusion Models
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30 May 2023
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Dingdong Yang, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang
arXiv 2023. [Paper] [Project]
29 May 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
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29 May 2023
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ICML 2023. [Paper] [Github]
28 May 2023
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29 May 2023
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arXiv 2023. [Paper]
26 May 2023
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25 May 2023
Trans-Dimensional Generative Modeling via Jump Diffusion Models
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arXiv 2023. [Paper]
25 May 2023
UDPM: Upsampling Diffusion Probabilistic Models
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arXiv 2023. [Paper]
25 May 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models
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25 May 2023
DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion
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24 May 2023
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24 May 2023
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24 May 2023
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22 May 2023
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19 May 2023
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18 May 2023
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
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18 May 2023
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18 May 2023
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18 May 2023
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17 May 2023
Analyzing Bias in Diffusion-based Face Generation Models
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10 May 2023
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ICML 2023. [Paper]
6 May 2023
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6 May 2023
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SIGGRAPH 2023. [Paper]
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30 Apr 2023
Motion-Conditioned Diffusion Model for Controllable Video Synthesis
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27 Apr 2023
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26 Apr 2023
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25 Apr 2023
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24 Apr 2023
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Yaosi Hu, Zhenzhong Chen, Chong Luo
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23 Apr 2023
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22 Apr 2023
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19 Apr 2023
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arXiv 2023. [Paper]
17 Apr 2023
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14 Apr 2023
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14 Apr 2023
DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
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14 Apr 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
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RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
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DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion
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arXiv 2023. [Paper] [Project] [Github]
12 Apr 2023
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ICML 2023. [Paper] [Project] [Github]
10 Apr 2023
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10 Apr 2023
Diffusion Models as Masked Autoencoders
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6 Apr 2023
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5 Apr 2023
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4 Apr 2023
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30 Mar 2023
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31 Mar 2023
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31 Mar 2023
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Jianfeng Xiang, Jiaolong Yang, Binbin Huang, Xin Tong
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31 Mar 2023
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CVPR 2023. [Paper]
30 Mar 2023
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30 Mar 2023
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25 Mar 2023
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CVPR 2023. [Paper] [Github]
24 Mar 2023
NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation
Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, Gong Ming, Lijuan Wang, Zicheng Liu, Houqiang Li, Nan Duan
arXiv 2023. [Paper] [Project]
22 Mar 2023
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arXiv 2023. [Paper]
20 Mar 2023
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Duolikun Danier, Fan Zhang, David Bull
arXiv 2023. [Paper]
16 Mar 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
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16 Mar 2023
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
CVPR 2023. [Paper]
15 Mar 2023
Interpretable ODE-style Generative Diffusion Model via Force Field Construction
Weiyang Jin, Yongpei Zhu, Yuxi Peng
arXiv 2023. [Paper]
14 Mar 2023
Regularized Vector Quantization for Tokenized Image Synthesis
Jiahui Zhang, Fangneng Zhan, Christian Theobalt, Shijian Lu
arXiv 2023. [Paper]
11 Mar 2023
PARASOL: Parametric Style Control for Diffusion Image Synthesis
Gemma Canet Tarrés, Dan Ruta, Tu Bui, John Collomosse
arXiv 2023. [Paper]
11 Mar 2023
Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion
Furkan Ozcelik, Rufin VanRullen
arXiv 2023. [Paper]
9 Mar 2023
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang
arXiv 2023. [Paper]
8 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
arXiv 2023. [Paper]
7 Mar 2023
Generative Diffusions in Augmented Spaces: A Complete Recipe
Kushagra Pandey, Stephan Mandt
arXiv 2023. [Paper]
3 Mar 2023
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Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever
arXiv 2023. [Paper]
2 Mar 2023
Diffusion Probabilistic Fields
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista
ICLR 2023. [Paper]
1 Mar 2023
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arXiv 2023. [Paper]
24 Feb 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
arXiv 2023. [Paper] [Project]
22 Feb 2023
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
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21 Feb 2023
On Calibrating Diffusion Probabilistic Models
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21 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
arXiv 2023. [Paper]
21 Feb 2023
Cross-domain Compositing with Pretrained Diffusion Models
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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
Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis
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17 Feb 2023
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
Jiaxin Cheng, Xiao Liang, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li
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16 Feb 2023
Video Probabilistic Diffusion Models in Projected Latent Space
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15 Feb 2023
DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model
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14 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
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14 Feb 2023
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Li Zhang, Hengyuan Ma, Xiatian Zhu, Jianfeng Feng
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13 Feb 2023
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10 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
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9 Feb 2023
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9 Feb 2023
Q-Diffusion: Quantizing Diffusion Models
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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
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
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AAAI 2023. [Paper]
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Sandesh Ghimire, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy
arXiv 2023. [Paper] [Github]
5 Feb 2023
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Yilun Xu, Shangyuan Tong, Tommi Jaakkola
ICLR 2023. [Paper] [Github]
1 Feb 2023
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31 Jan 2023
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Ying Fan, Kangwook Lee
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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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30 Jan 2023
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Soobin Um, Jong Chul Ye
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29 Jan 2023
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27 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
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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
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19 Jan 2023
Exploring Transformer Backbones for Image Diffusion Models
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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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22 Dec 2022
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Alex M. Tseng, Tommaso Biancalani, Max Shen, Gabriele Scalia
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21 Dec 2022
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
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19 Dec 2022
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19 Dec 2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee, Susung Hong, Junyoung Seo, Seungryong Kim
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17 Dec 2022
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12 Dec 2022
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13 Dec 2022
MAGVIT: Masked Generative Video Transformer
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10 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
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6 Dec 2022
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5 Dec 2022
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1 Dec 2022
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1 Dec 2022
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30 Nov 2022
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30 Nov 2022
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29 Nov 2022
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28 Nov 2022
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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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