This repository contains a collection of resources and papers on Diffusion Models.
- Resources
- Papers
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 June 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
Diffusion models from scratch in PyTorch
DeepFindr
[Video]
18 July 2022
Diffusion Models | Paper Explanation | Math Explained
Outlier
[Video]
Jun 6 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 June 2022
Diffusion Probabilistic Models
Jascha Sohl-Dickstein, MIT 6.S192 - Lecture 22
[Video]
19 April 2022
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
[Notebook]
Deforum Stable Diffusion
[Notebook]
Stable Diffusion Interpolation
[Notebook]
Keras Stable Diffusion: GPU starter example
[Notebook]
Huemin Jax Diffusion
[Notebook]
Disco Diffusion
[Notebook]
Simplified Disco Diffusion
[Notebook]
WAS's Disco Diffusion - Portrait Generator Playground
[Notebook]
Diffusers - Hugging Face
[Notebook]
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 Yang1, Zhilong Zhang1, Shenda Hong, Wentao Zhang
arXiv 2022. [Paper]
2 Sep 2022
Star-Shaped Denoising Diffusion Probabilistic Models
Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Aibek Alanov, Dmitry Vetrov
arXiv 2023. [Paper]
10 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper] [Project] [Github]
9 Feb 2023
Geometry of Score Based Generative Models
Sandesh Ghimire, Jinyang Liu, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy
arXiv 2023. [Paper]
9 Feb 2023
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
arXiv 2023. [Paper]
8 Feb 2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola
arXiv 2023. [Paper] [Github]
8 Feb 2023
Long Horizon Temperature Scaling
Andy Shih, Dorsa Sadigh, Stefano Ermon
arXiv 2023. [Paper]
7 Feb 2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation
Matthias Bauer1, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim1
arXiv 2023. [Paper]
6 Feb 2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian
AAAI 2023. [Paper]
5 Feb 2023
Divide and Compose with Score Based Generative Models
Sandesh Ghimire, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy
arXiv 2023. [Paper] [Github]
5 Feb 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models
Yilun Xu1, Shangyuan Tong1, Tommi Jaakkola
ICLR 2023. [Paper] [Github]
1 Feb 2023
Optimizing DDPM Sampling with Shortcut Fine-Tuning
Ying Fan, Kangwook Lee
arXiv 2023. [Paper]
31 Jan 2023
Learning Data Representations with Joint Diffusion Models
Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak
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
arXiv 2023. [Paper]
30 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models
Soobin Um, Jong Chul Ye
arXiv 2023. [Paper] [Github]
29 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wizadwongsa, Supasorn Suwajanakorn
ICLR 2023. [Paper]
27 Jan 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models
Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara
arXiv 2023. [Paper] [Github]
27 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee, Beomsu Kim, Jong Chul Ye
arXiv 2023. [Paper]
27 Jan 2023
simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom1, Jonathan Heek1, Tim Salimans
arXiv 2023. [Paper]
26 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello, Diego Valsesia, Enrico Magli
arXiv 2023. [Paper] [Github]
19 Jan 2023
Exploring Transformer Backbones for Image Diffusion Models
Princy Chahal
arXiv 2022. [Paper]
27 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models
Zijian Zhang, Zhou Zhao, Zhijie Lin
arXiv 2022. [Paper]
26 Dec 2022
Scalable Adaptive Computation for Iterative Generation
Allan Jabri, David Fleet, Ting Chen
arXiv 2022. [Paper]
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
Scalable Diffusion Models with Transformers
William Peebles, Saining Xie
arXiv 2022. [Paper] [Project] [Github]
19 Dec 2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
Gyeongnyeon Kim1, Wooseok Jang1, Gyuseong Lee1, Susung Hong, Junyoung Seo, Seungryong Kim
arXiv 2022. [Paper] [Project]
17 Dec 2022
Towards Practical Plug-and-Play Diffusion Models
Hyojun Go1, Yunsung Lee1, Jin-Young Kim1, Seunghyun Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi
arXiv 2022. [Paper]
12 Dec 2022
Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli
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
Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang
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
arXiv 2022. [Paper] [Project] [Github]
1 Dec 2022
Why Are Conditional Generative Models Better Than Unconditional Ones?
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
arXiv 2022. [Paper]
1 Dec 2022
High-Fidelity Guided Image Synthesis with Latent Diffusion Models
Jaskirat Singh, Stephen Gould, Liang Zheng
arXiv 2022. [Paper] [Project]
30 Nov 2022
Score-based Continuous-time Discrete Diffusion Models
Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
arXiv 2022. [Paper]
30 Nov 2022
Wavelet Diffusion Models are fast and scalable Image Generators
Hao Phung, Quan Dao, Anh Tran
arXiv 2022. [Paper]
29 Nov 2022
Dimensionality-Varying Diffusion Process
Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng
arXiv 2022. [Paper]
29 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim1, Yeongmin Kim1, Wanmo Kang, Il-Chul Moon
arXiv 2022. [Paper]
28 Nov 2022
Diffusion Probabilistic Model Made Slim
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
arXiv 2022. [Paper]
27 Nov 2022
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar
arXiv 2022. [Paper]
24 Nov 2022
Latent Video Diffusion Models for High-Fidelity Video Generation with Arbitrary Lengths
Yingqing He, Tianyu Yang, Yong Zhang, Ying Shan, Qifeng Chen
arXiv 2022. [Paper]
23 Nov 2022
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, Fang Wen
arXiv 2022. [Paper]
23 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li
arXiv 2022. [Paper] [Github]
22 Nov 2022
Accelerating Diffusion Sampling with Classifier-based Feature Distillation
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
arXiv 2022. [Paper]
22 Nov 2022
SceneComposer: Any-Level Semantic Image Synthesis
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John Collomosse, Jason Kuen, Vishal M. Patel
arXiv 2022. [Paper] [Project]
21 Nov 2022
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training
Ling Yang1, Zhilin Huang1, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang
arXiv 2022. [Paper]
21 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin, Niv Haim, Michal Irani
arXiv 2022. [Paper]
21 Nov 2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
Daquan Zhou1, Weimin Wang1, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
arXiv 2022. [Paper] [Project]
20 Nov 2022
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou
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
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
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
Vikram Voleti, Christopher Pal, Adam Oberman
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
Representation Learning with Diffusion Models
Jeremias Traub
arXiv 2022. [Paper] [Github]
20 Oct 2022
Self-Guided Diffusion Models
Vincent Tao Hu1, David W Zhang1, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
arXiv 2022. [Paper]
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
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh Susskind
arXiv 2022. [Paper] [Project]
10 Oct 2022
On Distillation of Guided Diffusion Models
Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
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
Blurring Diffusion Models
Emiel Hoogeboom, Tim Salimans
arXiv 2022. [Paper]
12 Sep 2022
Soft Diffusion: Score Matching for General Corruptions
Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar
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
Wan-Cyuan Fan, Yen-Chun Chen, DongDong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang
arXiv 2022. [Paper]
29 Aug 2022
Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model
Shin-I Cheng1, Yu-Jie Chen1, Wei-Chen Chiu, Hsin-Ying Lee, Hung-Yu Tseng
arXiv 2022. [Paper] [Project]
26 Aug 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2022. [Paper] [Github]
19 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar, Roy Ganz, Michael Elad
arXiv 2022. [Paper]
18 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Xiulong Yang1, Sheng-Min Shih1, Yinlin Fu, Xiaoting Zhao, Shihao Ji
arXiv 2022. [Paper] [Github]
16 Aug 2022
Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling
Ki-Ung Song
arXiv 2022. [Paper] [Github]
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
Pyramidal Denoising Diffusion Probabilistic Models
Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
3 Aug 2022
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis
Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye
arxiv 2022. [Paper] [Github]
16 Jul 2022
Improving Diffusion Model Efficiency Through Patching
Troy Luhman, Eric Luhman
arXiv 2022. [Paper] [Github]
9 Jul 2022
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng
ECCV 2022. [Paper]
5 Jul 2022
SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations
Jinsung Jeon, Noseong Park
arxiv 2022. [Paper]
29 Jun 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation
Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li
arXiv 2022. [Paper]
23 Jun 2022
Generative Modelling With Inverse Heat Dissipation
Severi Rissanen, Markus Heinonen, Arno Solin
arXiv 2022. [Paper] [Project]
21 Jun 2022
Diffusion models as plug-and-play priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
NeurIPS 2022. [Paper] [Github]
17 June 2022
A Flexible Diffusion Model
Weitao Du, Tao Yang, He Zhang, Yuanqi Du
arXiv 2022. [Paper]
17 Jun 2022
Lossy Compression with Gaussian Diffusion
Lucas Theis, Tim Salimans, Matthew D. Hoffman, Fabian Mentzer
arXiv 2022. [Paper]
17 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
ICML 2022. [Paper] [Github]
16 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
ICML 2022. [Paper] [Github]
15 Jun 2022
Diffusion Models for Video Prediction and Infilling
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
arXiv 2022. [Paper]
15 Jun 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022
gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang, Molei Tao, Yongxin Chen
arXiv 2022. [Paper] [Github]
11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
arXiv 2022. [Paper]
10 Jun 2022
Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models
Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M Patel
arXiv 2022. [Paper]
10 Jun 2022
Accelerating Score-based Generative Models for High-Resolution Image Synthesis
Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng
arXiv 2022. [Paper]
8 Jun 2022
Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
arXiv 2022. [Paper]
5 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
NeurrIPS 2022. [Paper] [Github]
2 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
NeurIPS 2022. [Paper]
1 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja, Anna Kuzina, Tomasz Trzciński, Jakub M. Tomczak
NeurIPS 2022. [Paper]
31 May 2022
Few-Shot Diffusion Models
Giorgio Giannone, Didrik Nielsen, Ole Winther
arXiv 2022. [Paper]
30 May 2022
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper]
30 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
NeurIPS 2022. [Paper]
27 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Zhaoyang Lyu, Xudong XU, Ceyuan Yang, Dahua Lin, Bo Dai
ICML 2022. [Paper]
25 May 2022
Flexible Diffusion Modeling of Long Videos
William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
arXiv 2022. [Paper] [Github]
23 May 2022
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram Voleti1, Alexia Jolicoeur-Martineau1, Christopher Pal
NeurIPS 2022. [Paper] [Github]
19 May 2022
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models
Vedant Singh1, Surgan Jandial1, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
CVPR Workshop 2022. [Paper]
8 May 2022
Subspace Diffusion Generative Models
Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola
arXiv 2022. [Paper] [Github]
3 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang, Yongxin Chen
arXiv 2022. [Paper]
29 Apr 2022
Retrieval-Augmented Diffusion Models
Andreas Blattmann1, Robin Rombach1, Kaan Oktay, Björn Ommer
arXiv 2022. [Paper]
25 Apr 2022
Video Diffusion Models
Jonathan Ho1, Tim Salimans1, Alexey Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
NeurIPS 2022. [Paper]
7 Apr 2022
Perception Prioritized Training of Diffusion Models
Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
CVPR 2022. [Paper] [Github]
1 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton Ferrer
arXiv 2022. [Paper]
31 Mar 2022
Diffusion Models for Counterfactual Explanations
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
arXiv 2022. [Paper]
29 Mar 2022
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee
ICLR 2022. [Paper]
27 Mar 2022
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang, Prakhar Srivastava, Stephan Mandt
arXiv 2022. [Paper] [Github]
16 Mar 2022
Dynamic Dual-Output Diffusion Models
Yaniv Benny, Lior Wolf
CVPR 2022. [Paper]
8 Mar 2022
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7 Jul 2022
SAR Despeckling using a Denoising Diffusion Probabilistic Model
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arXiv 2022. [Paper]
9 Jun 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung1, Byeongsu Sim1, Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
2 Jun 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb1, Robin Sandkühler1, Florentin Bieder, Philippe C. Cattin
arXiv 2022. [Paper]
6 Apr 2022
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
arXiv 2022. [Paper]
23 Mar 2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa
arXiv 2022. [Paper] [Github]
8 Mar 2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
Yutong Xie, Quanzheng Li
MICCAI 2022. [Paper] [Github]
5 Mar 2022
MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation
Guanxiong Luo, Martin Heide, Martin Uecker
arXiv 2022. [Paper] [Github]
3 Feb 2022
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Dewei Hu, Yuankai K. Tao, Ipek Oguz
arXiv 2022. [Paper] [Github]
27 Jan 2022
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
ICLR 2022 Workshop (Oral). [Paper]
27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
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CVPR 2022. [Paper] [Github]
24 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
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arXiv 2022. [Paper] [Github]
2 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
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CVPR 2022. [Paper] [Github]
20 Dec 2021
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
CVPR 2022. [Paper]
9 Dec 2021
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Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
CVPR 2022. [Paper]
5 Dec 2021
Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2021. [Paper]
26 Nov 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song1, Liyue Shen1, Lei Xing, Stefano Ermon
NeurIPS Workshop 2021. [Paper] [Github]
15 Nov 2021
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
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NeurIPS 2022. [Paper]
8 Nov 2021
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Hyungjin Chung, Jong chul Ye
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8 Oct 2021
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ICLR 2022. [Paper]
5 Oct 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
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ICCV 2021 (Oral). [Paper] [Github]
6 Aug 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho1, Chitwan Saharia1, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
arXiv 2021. [Paper] [Project]
30 May 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
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ACM 2022. [Paper]
30 Apr 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
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
Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee
arXiv 2022. [Paper] [Project]
27 Dec 2022
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping
Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu
arXiv 2022. [Paper]
13 Dec 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
Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch
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
Junyoung Seo1, Gyuseong Lee1, Seokju Cho, Jiyoung Lee, Seungryong Kim
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
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen
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
Julia Wolleb1, Robin Sandkühler1, Florentin Bieder, Philippe C. Cattin
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
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
arXiv 2021. [Paper] [Project]
30 Dec 2021
Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2021. [Paper]
26 Nov 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
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
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
arXiv 2023. [Paper]
8 Feb 2023
Is This Loss Informative? Speeding Up Textual Inversion with Deterministic Objective Evaluation
Anton Voronov1, Mikhail Khoroshikh1, Artem Babenko, Max Ryabinin
arXiv 2023. [Paper]
9 Feb 2023
GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao
arXiv 2023. [Paper]
8 Feb 2023
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
8 Feb 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Yuxin Wen1, Neel Jain1, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2023. [Paper] [Github]
7 Feb 2023
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Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
arXiv 2023. [Paper]
6 Feb 2023
Structure and Content-Guided Video Synthesis with Diffusion Models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis
arXiv 2023. [Paper] [Project]
6 Feb 2023
Mixture of Diffusers for scene composition and high resolution image generation
Álvaro Barbero Jiménez
arXiv 2023. [Paper]
5 Feb 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
arXiv 2023. [Paper]
5 Feb 2023
Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion
Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
arXiv 2023. [Paper]
5 Feb 2023
Semantic-Guided Image Augmentation with Pre-trained Models
Bohan Li, Xinghao Wang, Xiao Xu, Yutai Hou, Yunlong Feng, Feng Wang, Wanxiang Che
arXiv 2023. [Paper]
4 Feb 2023
TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson1, Gal Metzer1, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
3 Feb 2023
Dreamix: Video Diffusion Models are General Video Editors
Eyal Molad1, Eliahu Horwitz1, Dani Valevski1, Alex Rav Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen
arXiv 2023. [Paper] [Project]
2 Feb 2023
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts
Amy Smith1, Hope Schroeder1, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman
arXiv 2023. [Paper]
1 Feb 2023
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
Hila Chefer1, Yuval Alaluf1, Yael Vinker, Lior Wolf, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
31 Jan 2023
Zero3D: Semantic-Driven Multi-Category 3D Shape Generation
Bo Han, Yitong Liu, Yixuan Shen
arXiv 2023. [Paper]
31 Jan 2023
Shape-aware Text-driven Layered Video Editing
Yao-Chih Lee, Ji-Ze Genevieve Jang, Yi-Ting Chen, Elizabeth Qiu, Jia-Bin Huang
arXiv 2023. [Paper] [Project]
30 Jan 2023
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
arXiv 2023. [Paper] [Github]
30 Jan 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Ming Tao, Bing-Kun Bao, Hao Tang, Changsheng Xu
arXiv 2023. [Paper] [Github]
30 Jan 2023
SEGA: Instructing Diffusion using Semantic Dimensions
Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting
arXiv 2023. [Paper]
28 Jan 2023
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset
Zhixuan Liu, Youeun Shin, Beverley-Claire Okogwu, Youngsik Yun, Lia Coleman, Peter Schaldenbrand, Jihie Kim, Jean Oh
arXiv 2023. [Paper]
28 Jan 2023
Text-To-4D Dynamic Scene Generation
Uriel Singer1, Shelly Sheynin1, Adam Polyak1, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
arXiv 2023. [Paper]
26 Jan 2023
Guiding Text-to-Image Diffusion Model Towards Grounded Generation
Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie
arXiv 2023. [Paper] [Project]
12 Jan 2023
Visual Story Generation Based on Emotion and Keywords
Yuetian Chen, Ruohua Li, Bowen Shi, Peiru Liu, Mei Si
AAAI 2022. [Paper]
7 Jan 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang1, Han Zhang1, Jarred Barber, AJ Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
arXiv 2023. [Paper] [Project]
2 Jan 2023
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao
arXiv 2022. [Paper] [Project]
28 Dec 2022
Exploring Vision Transformers as Diffusion Learners
He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang
arXiv 2022. [Paper]
28 Dec 2022
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou
arXiv 2022. [Paper] [Project]
22 Dec 2022
Optimizing Prompts for Text-to-Image Generation
Yaru Hao1, Zewen Chi1, Li Dong, Furu Wei
arXiv 2022. [Paper] [Project] [Github]
19 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
arXiv 2022. [Paper] [Github]
16 Dec 2022
TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models
Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti
arXiv 2022. [Paper]
15 Dec 2022
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
Su Wang1, Chitwan Saharia1, Ceslee Montgomery1, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
arXiv 2022. [Paper]
13 Dec 2022
The Stable Artist: Steering Semantics in Diffusion Latent Space
Manuel Brack, Patrick Schramowski, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper]
12 Dec 2022
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang
arXiv 2022. [Paper]
9 Dec 2022
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
arXiv 2022. [Paper] [Github]
9 Dec 2022
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt
arXiv 2022. [Paper] [Project]
8 Dec 2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander Schwing, Liangyan Gui
arXiv 2022. [Paper] [Project]
8 Dec 2022
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris Metaxas, Jian Ren
arXiv 2022. [Paper] [Project] [Github]
8 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
arXiv 2022. [Paper] [Project]
8 Dec 2022
Diffusion Guided Domain Adaptation of Image Generators
Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris Metaxas, Ahmed Elgammal
arXiv 2022. [Paper] [Project]
8 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
arXiv 2022. [Paper] [Project]
8 Dec 2022
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Xiu Li
arXiv 2022. [Paper]
7 Dec 2022
Judge, Localize, and Edit: Ensuring Visual Commonsense Morality for Text-to-Image Generation
Seongbeom Park, Suhong Moon, Jinkyu Kim
arXiv 2022. [Paper]
7 Dec 2022
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov
arXiv 2022. [Paper]
6 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
arXiv 2022. [Paper]
6 Dec 2022
ADIR: Adaptive Diffusion for Image Reconstruction
Shady Abu-Hussein, Tom Tirer, Raja Giryes
arXiv 2022. [Paper] [Project]
6 Dec 2022
M-VADER: A Model for Diffusion with Multimodal Context
Samuel Weinbach1, Marco Bellagente1, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andres Felipe Cruz-Salinas
arXiv 2022. [Paper]
6 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang
arXiv 2022. [Paper]
6 Dec 202
Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models
Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel
arXiv 2022. [Paper] [Project]
1 Dec 2022
Shape-Guided Diffusion with Inside-Outside Attention
Dong Huk Park1, Grace Luo1, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell
arXiv 2022. [Paper] [Project]
1 Dec 2022
SinDDM: A Single Image Denoising Diffusion Model
Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli
arXiv 2022. [Paper] [Project]
29 Nov 2022
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim, Se Young Chun
arXiv 2022. [Paper] [Github]
29 Nov 2022
Unified Discrete Diffusion for Simultaneous Vision-Language Generation
Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan
arXiv 2022. [Paper]
27 Nov 2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
arXiv 2022. [Paper]
25 Nov 2022
SpaText: Spatio-Textual Representation for Controllable Image Generation
Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin
arXiv 2022. [Paper] [Project]
25 Nov 2022
Sketch-Guided Text-to-Image Diffusion Models
Andrey Voynov, Kfir Aberman, Daniel Cohen-Or
arXiv 2022. [Paper] [Project]
24 Nov 2022
Shifted Diffusion for Text-to-image Generation
Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
arXiv 2022. [Paper]
24 Nov 2022
EDICT: Exact Diffusion Inversion via Coupled Transformations
Bram Wallace, Akash Gokul, Nikhil Naik
arXiv 2022. [Paper]
22 Nov 2022
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Narek Tumanyan1, Michal Geyer1, Shai Bagon, Tali Dekel
arXiv 2022. [Paper]
22 Nov 2022
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark
Vitali Petsiuk, Alexander E. Siemenn, Saisamrit Surbehera, Zad Chin, Keith Tyser, Gregory Hunter, Arvind Raghavan, Yann Hicke, Bryan A. Plummer, Ori Kerret, Tonio Buonassisi, Kate Saenko, Armando Solar-Lezama, Iddo Drori
NeurIPS 2022. [Paper]
22 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li
arXiv 2022. [Paper] [Github]
22 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin, Niv Haim, Michal Irani
arXiv 2022. [Paper]
21 Nov 2022
Investigating Prompt Engineering in Diffusion Models
Sam Witteveen, Martin Andrews
arXiv 2022. [Paper]
21 Nov 2022
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Ajay Jain1, Amber Xie1, Pieter Abbeel
arXiv 2022. [Paper] [Project]
21 Nov 2022
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
Nisha Huang, Yuxin Zhang, Fan Tang, Chongyang Ma, Haibin Huang, Yong Zhang, Weiming Dong, Changsheng Xu
arXiv 2022. [Paper]
19 Nov 2022
Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin1, Jun Gao1, Luming Tang1, Towaki Takikawa1, Xiaohui Zeng1, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
arXiv 2022. [Paper] [Project]
18 Nov 2022
Invariant Learning via Diffusion Dreamed Distribution Shifts
Priyatham Kattakinda, Alexander Levine, Soheil Feizi
arXiv 2022. [Paper]
18 Nov 2022
Null-text Inversion for Editing Real Images using Guided Diffusion Models
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, Daniel Cohen-Or
arXiv 2022. [Paper]
17 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks, Aleksander Holynski, Alexei A. Efros
arXiv 2022. [Paper]
17 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
Xingqian Xu, Zhangyang Wang, Eric Zhang, Kai Wang, Humphrey Shi
arXiv 2022. [Paper] [Github]
15 Nov 2022
Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models
Adham Elarabawy, Harish Kamath, Samuel Denton
arXiv 2022. [Paper]
15 Nov 2022
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation
Zhihong Pan, Xin Zhou, Hao Tian
arXiv 2022. [Paper]
14 Nov 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting
arXiv 2022. [Paper] [Github]
9 Nov 2022
Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper] [Github]
4 Nov 2022
eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu
arXiv 2022. [Paper] [Github]
2 Nov 2022
MagicMix: Semantic Mixing with Diffusion Models
Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
arXiv 2022. [Paper] [Project]
28 Oct 2022
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance
Wei Li, Xue Xu, Xinyan Xiao, Jiachen Liu, Hu Yang, Guohao Li, Zhanpeng Wang, Zhifan Feng, Qiaoqiao She, Yajuan Lyu, Hua Wu
arXiv 2022. [Paper]
28 Oct 2022
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
Hritik Bansal1, Da Yin1, Masoud Monajatipoor, Kai-Wei Chang
EMNLP 2022. [Paper] [Github]
27 Oct 2022
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts
Zhida Feng1, Zhenyu Zhang1, Xintong Yu1, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
arXiv 2022. [Paper]
27 Oct 2022
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
arXiv 2022. [Paper] [Project]
26 Oct 2022
Lafite2: Few-shot Text-to-Image Generation
Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu
arXiv 2022. [Paper]
25 Oct 2022
High-Resolution Image Editing via Multi-Stage Blended Diffusion
Johannes Ackermann, Minjun Li
NeurIPS Workshop 2022. [Paper] [Github]
24 Oct 2022
Conditional Diffusion with Less Explicit Guidance via Model Predictive Control
Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas
arXiv 2022. [Paper]
21 Oct 2022
A Visual Tour Of Current Challenges In Multimodal Language Models
Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
arXiv 2022. [Paper]
22 Oct 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord
arXiv 2022. [Paper]
20 Oct 2022
Diffusion Models already have a Semantic Latent Space
Mingi Kwon, Jaeseok Jeong, Youngjung Uh
arXiv 2022. [Paper] [Project]
20 Oct 2022
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image
Dani Valevski, Matan Kalman, Yossi Matias, Yaniv Leviathan
arXiv 2022. [Paper]
18 Oct 2022
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai
arXiv 2022. [Paper]
18 Oct 2022
Imagic: Text-Based Real Image Editing with Diffusion Models
Bahjat Kawar1, Shiran Zada1, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani
arXiv 2022. [Paper]
17 Oct 2022
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
Chaerin Kong, DongHyeon Jeon, Ohjoon Kwon, Nojun Kwak
arXiv 2022. [Paper]
12 Oct 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
Imagen Video: High Definition Video Generation with Diffusion Models
Jonathan Ho1, William Chan1, Chitwan Saharia1, Jay Whang1, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
arXiv 2022. [Paper]
5 Oct 2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
arXiv 2022. [Paper]
5 Oct 2022
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota
arXiv 2022. [Paper]
5 Oct 2022
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP
Justin N. M. Pinkney, Chuan Li
BMVC 2022. [Paper] [Github]
5 Oct 2022
Membership Inference Attacks Against Text-to-image Generation Models
Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang
arXiv 2022. [Paper]
3 Oct 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman
arXiv 2022. [Paper]
29 Sep 2022
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
arXiv 2022. [Paper] [Github]
29 Sep 2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen
arXiv 2022. [Paper]
29 Sep 2022
Creative Painting with Latent Diffusion Models
Xianchao Wu
arXiv 2022. [Paper]
29 Sep 2022
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion
Nisha Huang, Fan Tang, Weiming Dong, Changsheng Xu
arXiv 2022. [Paper] [Github]
27 Sep 2022
Personalizing Text-to-Image Generation via Aesthetic Gradients
Victor Gallego
NeurIPS 2022. [Paper] [Github]
25 Sep 2022
Best Prompts for Text-to-Image Models and How to Find Them
Nikita Pavlichenko, Dmitry Ustalov
arXiv 2022. [Paper]
23 Sep 2022
The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper] [Github]
19 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre
NeurIPS 2022. [Paper] [Github]
14 Sep 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman
arXiv 2022. [Paper] [Project] [Github]
25 Aug 2022
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
Robin Rombach1, Andreas Blattmann1, Björn Ommer
arXiv 2022. [Paper] [Github]
26 Jul 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022
Blended Latent Diffusion
Omri Avrahami, Ohad Fried, Dani Lischinski
ACM 2022. [Paper] [Project] [Github]
6 Jun 2022
Compositional Visual Generation with Composable Diffusion Models
Nan Liu1, Shuang Li1, Yilun Du1, Antonio Torralba, Joshua B. Tenenbaum
ECCV 2022. [Paper] [Project] [Github]
3 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Jie Shi1, Chenfei Wu1, Jian Liang, Xiang Liu, Nan Duan
arXiv 2022. [Paper]
1 Jun 2022
Improved Vector Quantized Diffusion Models
Zhicong Tang, Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen
arXiv 2022. [Paper] [Github]
31 May 2022
Text2Human: Text-Driven Controllable Human Image Generation
Yuming Jiang, Shuai Yang, Haonan Qiu, Wayne Wu, Chen Change Loy, Ziwei Liu
ACM 2022. [Paper] [Github]
31 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia1, William Chan1, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, Mohammad Norouzi
NeurIPS 2022. [Paper] [Github]
23 May 2022
Retrieval-Augmented Diffusion Models
Andreas Blattmann1, Robin Rombach1, Kaan Oktay, Björn Ommer
arXiv 2022. [Paper] [Github]
25 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen
arXiv 2022. [Paper] [Github]
13 Apr 2022
KNN-Diffusion: Image Generation via Large-Scale Retrieval
Oron Ashual, Shelly Sheynin, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, Yaniv Taigman
arXiv 2022. [Paper]
6 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach1, Andreas Blattmann1, Dominik Lorenz, Patrick Esser, Björn Ommer
CVPR 2022. [Paper] [Github]
20 Dec 2021
More Control for Free! Image Synthesis with Semantic Diffusion Guidance
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell
arXiv 2021. [Paper] [Project]
10 Dec 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo
CVPR 2022. [Paper] [Github]
29 Nov 2021
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami, Dani Lischinski, Ohad Fried
CVPR 2022. [Paper] [Project] [Github]
29 Nov 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
ICLR 2022 (Spotlight). [Paper] [Project]
15 Dec 2021
DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
Gwanghyun Kim, Jong Chul Ye
CVPR 2022. [Paper]
6 Oct 2021
DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Tiange Xiang, Mahmut Yurt, Ali B Syed, Kawin Setsompop, Akshay Chaudhari
ICLR 2023. [Paper] [Github]
6 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
Diffusion Denoising for Low-Dose-CT Model
Runyi Li
arXiv 2023. [Paper]
27 Jan 2023
DiffusionCT: Latent Diffusion Model for CT Image Standardization
Md Selim, Jie Zhang, Michael A. Brooks, Ge Wang, Jin Chen
arXiv 2023. [Paper]
20 Jan 2023
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer
Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yanwu Xu
arXiv 2023. [Paper]
19 Jan 2023
The role of noise in denoising models for anomaly detection in medical images
Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia S. Mikhael, Jeremy P. Voisey, Keith Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil
arXiv 2023. [Paper] [Github]
19 Jan 2023
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
arXiv 2023. [Paper]
8 Jan 2023
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets
Dennis Eschweiler, Johannes Stegmaier
arXiv 2023. [Paper]
2 Jan 2023
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou
arXiv 2023. [Paper]
1 Jan 2023
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
arXiv 2022. [Paper]
16 Dec 2022
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu
arXiv 2022. [Paper]
15 Dec 2022
SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging
Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu
arXiv 2022. [Paper]
14 Dec 2022
Diffusion Probabilistic Models beat GANs on Medical Images
Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
arXiv 2022. [Paper]
14 Dec 2022
One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging
Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu
arXiv 2022. [Paper]
7 Dec 2022
Improving dermatology classifiers across populations using images generated by large diffusion models
Luke W. Sagers1, James A. Diao1, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai
NeurIPS Workshop 2022. [Paper]
23 Nov 2022
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
Pierre Chambon1, Christian Bluethgen1, Jean-Benoit Delbrouck, Rogier Van der Sluijs, Małgorzata Połacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P. Langlotz, Akshay Chaudhari
arXiv 2022. [Paper]
23 Nov 2022
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim
arXiv 2022. [Paper]
22 Nov 2022
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models
Hyungjin Chung1, Dohoon Ryu1, Michael T. McCann, Marc L. Klasky, Jong Chul Ye
arXiv 2022. [Paper]
19 Nov 2022
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
Wenjun Xia, Wenxiang Cong, Ge Wang
arXiv 2022. [Paper]
18 Nov 2022
Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields
Xie Taofeng1, Cao Chentao1, Cui Zhuoxu, Li Fanshi, Wei Zidong, Zhu Yanjie, Li Ye, Liang Dong, Jin Qiyu, Chen Guoqing, Wang Haifeng
arXiv 2022. [Paper]
16 Nov 2022
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks
Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger
arXiv 2022. [Paper]
11 Nov 2022
An unobtrusive quality supervision approach for medical image annotation
Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas Maier
arXiv 2022. [Paper]
11 Nov 2022
Medical Diffusion -- Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baessler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
arXiv 2022. [Paper]
7 Nov 2022
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier
arXiv 2022. [Paper]
2 Nov 2022
Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models
Hazrat Ali, Shafaq Murad, Zubair Shah
arXiv 2022. [Paper] [Project]
2 Nov 2022
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu
arXiv 2022. [Paper]
1 Nov 2022
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma
arXiv 2022. [Paper]
27 Oct 2022
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report
Pouria Rouzrokh1, Bardia Khosravi1, Shahriar Faghani, Mana Moassefi, Sanaz Vahdati, Bradley J. Erickson
arXiv 2022. [Paper] [Github]
21 Oct 2022
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains
Pierre Chambon1, Christian Bluethgen1, Curtis P. Langlotz, Akshay Chaudhari
arXiv 2022. [Paper]
9 Oct 2022
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch
BMVC 2022. [Paper]
4 Oct 2022
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup
Wenjun Xia, Qing Lyu, Ge Wang
arXiv 2022. [Paper]
29 Sep 2022
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
Boah Kim1, Yujin Oh1, Jong Chul Ye
arXiv 2022. [Paper]
29 Sep 2022
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models
Qing Lyu, Ge Wang
arXiv 2022. [Paper]
24 Sep 2022
Brain Imaging Generation with Latent Diffusion Models
Walter H. L. Pinaya1, Petru-Daniel Tudosiu1, Jessica Dafflon, Pedro F da Costa, Virginia Fernandez, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
arXiv 2022. [Paper]
15 Sep 2022
PET image denoising based on denoising diffusion probabilistic models
Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan
arXiv 2022. [Paper]
13 Sep 2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction
Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
IEEE TMI 2022. [Paper]
2 Sep 2022
High-Frequency Space Diffusion Models for Accelerated MRI
Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu
arXiv 2022. [Paper]
10 Aug 2022
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
MICCAI 2022. [Paper] [Github]
25 Jul 2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur
arXiv 2022. [Paper]
17 Jul 2022
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
Salman UH Dar, Şaban Öztürk, Yilmaz Korkmaz, Gokberk Elmas, Muzaffer Özbey, Alper Güngör, Tolga Çukur
arXiv 2022. [Paper]
12 Jul 2022
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion
Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen
arXiv 2022. [Paper]
7 Jul 2022
Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease
Junren Pan, Shuqiang Wang
arXiv 2022. [Paper]
20 Jun 2022
Diffusion Deformable Model for 4D Temporal Medical Image Generation
Boah Kim, Jong Chul Ye
MICCAI 2022. [Paper] [Github]
27 Jun 2022
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Rolf Jager, David Werring, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardos
MICCAI 2022. [Paper]
7 Jun 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung1, Byeongsu Sim1, Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
2 Jun 2022
AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
Julian Wyatt, Adam Leach, Sebastian M. Schmon, Chris G. Willcocks
CVPR Workshop 2022. [Paper] [Github]
1 Jun 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb1, Robin Sandkühler1, Florentin Bieder, Philippe C. Cattin
arXiv 2022. [Paper]
6 Apr 2022
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
arXiv 2022. [Paper]
23 Mar 2022
Diffusion Models for Medical Anomaly Detection
Julia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin
MICCAI 2022. [Paper] [Github]
8 Mar 2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa
arXiv 2022. [Paper] [Github]
8 Mar 2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
Yutong Xie, Quanzheng Li
MICCAI 2022. [Paper] [Github]
5 Mar 2022
MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation
Guanxiong Luo, Martin Heide, Martin Uecker
arXiv 2022. [Paper] [Github]
3 Feb 2022
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Dewei Hu, Yuankai K. Tao, Ipek Oguz
arXiv 2022. [Paper] [Github]
27 Jan 2022
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
CVPR 2021. [Paper]
9 Dec 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song1, Liyue Shen1, Lei Xing, Stefano Ermon
NeurIPS Workshop 2021. [Paper] [Github]
15 Nov 2021
Score-based diffusion models for accelerated MRI
Hyungjin Chung, Jong chul Ye
MIA 2021. [Paper] [Github]
8 Oct 2021
HumanMAC: Masked Motion Completion for Human Motion Prediction
Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu
arXiv 2023. [Paper] [Project] [Github]
7 Feb 2023
TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson1, Gal Metzer1, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
3 Feb 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Tao Yang, Yuwang Wang, Yan Lv, Nanning Zheng
arXiv 2023. [Paper]
31 Jan 2023
Zero3D: Semantic-Driven Multi-Category 3D Shape Generation
Bo Han, Yitong Liu, Yixuan Shen
arXiv 2023. [Paper]
31 Jan 2023
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
Jingyu Hu1, Ka-Hei Hui1, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu
arXiv 2023. [Paper]
1 Feb 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
Biao Zhang, Jiapeng Tang, Matthias Niessner, Peter Wonka
arXiv 2023. [Paper]
26 Jan 2023
DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model
Fan Zhang, Naye Ji, Fuxing Gao, Yongping Li
arXiv 2023. [Paper]
24 Jan 2023
Bipartite Graph Diffusion Model for Human Interaction Generation
Baptiste Chopin, Hao Tang, Mohamed Daoudi
arXiv 2023. [Paper]
24 Jan 2023
Diffusion-based Generation, Optimization, and Planning in 3D Scenes
Siyuan Huang1, Zan Wang1, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu
arXiv 2023. [Paper] [Project]
15 Jan 2023
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models
Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe
arXiv 2023. [Paper]
10 Jan 2023
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
Jumin Lee, Woobin Im, Sebin Lee, Sung-Eui Yoon
arXiv 2023. [Paper] [Github]
2 Jan 2023
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao
arXiv 2022. [Paper] [Project]
28 Dec 2022
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol1, Heewoo Jun1, Prafulla Dhariwal, Pamela Mishkin, Mark Chen
arXiv 2022. [Paper] [Github]
16 Dec 2022
Real-Time Rendering of Arbitrary Surface Geometries using Learnt Transfer
Sirikonda Dhawal, Aakash KT, P.J. Narayanan
arXiv 2022. [Paper]
19 Dec 2022
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang, Hubert P. H. Shum
arXiv 2022. [Paper]
16 Dec 2022
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
Tengfei Wang1, Bo Zhang1, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo
arXiv 2022. [Paper] [Project]
12 Dec 2022
Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
Jiabao Lei, Jiapeng Tang, Kui Jia
arXiv 2022. [Paper] [Project]
12 Dec 2022
Ego-Body Pose Estimation via Ego-Head Pose Estimation
Jiaman Li, C. Karen Liu, Jiajun Wu
arXiv 2022. [Paper]
9 Dec 2022
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt
arXiv 2022. [Paper] [Project]
8 Dec 2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander Schwing, Liangyan Gui
arXiv 2022. [Paper] [Project]
8 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
arXiv 2022. [Paper] [Project]
8 Dec 2022
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Xiu Li
arXiv 2022. [Paper]
7 Dec 2022
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov
arXiv 2022. [Paper]
6 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
arXiv 2022. [Paper]
6 Dec 2022
Pretrained Diffusion Models for Unified Human Motion Synthesis
Jianxin Ma, Shuai Bai, Chang Zhou
arXiv 2022. [Paper] [Project]
6 Dec 2022
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model
Jeongjun Choi, Dongseok Shim, H. Jin Kim
arXiv 2022. [Paper]
6 Dec 2022
PhysDiff: Physics-Guided Human Motion Diffusion Model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz
arXiv 2022. [Paper] [Project]
5 Dec 2022
Fast Point Cloud Generation with Straight Flows
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
arXiv 2022. [Paper]
4 Dec 2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner
arXiv 2022. [Paper] [Project]
2 Dec 2022
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models
Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero
arXiv 2022. [Paper]
1 Dec 2022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Haochen Wang1, Xiaodan Du1, Jiahao Li1, Raymond A. Yeh, Greg Shakhnarovich
arXiv 2022. [Paper]
1 Dec 2022
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
Zhizhuo Zhou, Shubham Tulsiani
arXiv 2022. [Paper] [Github]
1 Dec 2022
3D Neural Field Generation using Triplane Diffusion
J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein
arXiv 2022. [Paper] [Project]
30 Nov 2022
DiffPose: Toward More Reliable 3D Pose Estimation
Jia Gong1, Lin Geng Foo1, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu
arXiv 2022. [Paper]
30 Nov 2022
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models
Karl Holmquist, Bastian Wandt
arXiv 2022. [Paper]
29 Nov 2022
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim, Se Young Chun
arXiv 2022. [Paper] [Github]
29 Nov 2022
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
arXiv 2022. [Paper] [Project]
29 Nov 2022
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion
Kui Zhang, Hang Zhou, Jie Zhang, Qidong Huang, Weiming Zhang, Nenghai Yu
arXiv 2022. [Paper]
29 Nov 2022
UDE: A Unified Driving Engine for Human Motion Generation
Zixiang Zhou, Baoyuan Wang
arXiv 2022. [Paper] [Project] [Github]
29 Nov 2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
arXiv 2022. [Paper]
25 Nov 2022
DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions
Gene Chou, Yuval Bahat, Felix Heide
arXiv 2022. [Paper]
24 Nov 2022
Tetrahedral Diffusion Models for 3D Shape Generation
Nikolai Kalischek, Torben Peters, Jan D. Wegner, Konrad Schindler
arXiv 2022. [Paper]
23 Nov 2022
IC3D: Image-Conditioned 3D Diffusion for Shape Generation
Cristian Sbrolli, Paolo Cudrano, Matteo Frosi, Matteo Matteucci
arXiv 2022. [Paper]
20 Nov 2022
Listen, denoise, action! Audio-driven motion synthesis with diffusion models
Simon Alexanderson, Rajmund Nagy, Jonas Beskow, Gustav Eje Henter
arXiv 2022. [Paper]
17 Nov 2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Titas Anciukevičius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero
arXiv 2022. [Paper] [Github]
17 Nov 2022
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Gal Metzer1, Elad Richardson1, Or Patashnik, Raja Giryes, Daniel Cohen-Or
arXiv 2022. [Paper] [Github]
14 Nov 2022
ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction
Gyumin Shim1, Minsoo Lee1, Jaegul Choo
ACM 2022. [Paper]
9 Nov 2022
StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects
Weiyu Liu, Tucker Hermans, Sonia Chernova, Chris Paxton
arXiv 2022. [Paper]
8 Nov 2022
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model
Zhiyuan Ren, Zhihong Pan, Xin Zhou, Le Kang
arXiv 2022. [Paper]
22 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
NeurIPS 2022. [Paper] [Project]
12 Oct 2022
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu
arXiv 2022. [Paper]
12 Oct 2022
A generic diffusion-based approach for 3D human pose prediction in the wild
Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi, Yasamin Medghalchi, Sara Rajabzadeh, Taylor Mordan, Alexandre Alahi
arXiv 2022. [Paper]
11 Oct 2022
Novel View Synthesis with Diffusion Models
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
arXiv 2022. [Paper]
6 Oct 2022
Neural Volumetric Mesh Generator
Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang
arXiv 2022. [Paper]
6 Oct 2022
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang, Hubert P. H. Shum
arXiv 2022. [Paper]
29 Sep 2022
Human Motion Diffusion Model
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Amit H. Bermano, Daniel Cohen-Or
arXiv 2022. [Paper] [Project]
29 Sep 2022
SE(3)-DiffusionFields: Learning cost functions for joint grasp and motion optimization through diffusion
Julen Urain, Niklas Funk, Georgia Chalvatzaki, Jan Peters
arXiv 2022. [Paper] [Github]
8 Sep 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
Mao Ye, Lemeng Wu, Qiang Liu
NeruIPS 2022. [Paper]
2 Sep 2022
FLAME: Free-form Language-based Motion Synthesis & Editing
Jihoon Kim, Jiseob Kim, Sungjoon Choi
arXiv 2022. [Paper]
1 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
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, Ziwei Liu
arXiv 2022. [Paper] [Project]
31 Aug 2022
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
Dominik J. E. Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
arXiv 2022. [Paper]
30 Aug 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao
arXiv 2022. [Paper]
21 Aug 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin
ICLR 2022. [Paper] [Github]
7 Dec 2021
Score-Based Point Cloud Denoising
Shitong Luo, Wei Hu
ICCV 2021. [Paper] [Github]
23 Jul 2021
DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras
Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu
ECCV 2022. [Paper] [Project] [Github]
16 Jul 2022
3D Shape Generation and Completion through Point-Voxel Diffusion
Linqi Zhou, Yilun Du, Jiajun Wu
ICCV 2021. [Paper] [Project]
8 Apr 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo, Wei Hu
CVPR 2021. [Paper] [Github]
2 Mar 2021
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Chumeng Liang1, Xiaoyu Wu1, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
arXiv 2023. [Paper]
9 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang1, Tianyu Pang1, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan
arXiv 2023. [Paper] [Github]
9 Feb 2023
Membership Inference Attacks against Diffusion Models
Tomoya Matsumoto, Takayuki Miura, Naoto Yanai
arXiv 2023. [Paper]
7 Feb 2023
MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders
Naser Damer, Meiling Fang, Patrick Siebke, Jan Niklas Kolf, Marco Huber, Fadi Boutros
arXiv 2023. [Paper]
3 Feb 2023
Extracting Training Data from Diffusion Models
Nicholas Carlini1, Jamie Hayes1, Milad Nasr1, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
arXiv 2023. [Paper]
2 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu
arXiv 2023. [Paper]
2 Feb 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks
Brandon B. May1, N. Joseph Tatro1, Piyush Kumar, Nathan Shnidman
arXiv 2023. [Paper]
31 Jan 2023
Extracting Training Data from Diffusion Models
Nicholas Carlini1, Jamie Hayes1, Milad Nasr1, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
arXiv 2023. [Paper]
30 Jan 2023
Membership Inference of Diffusion Models
Hailong Hu, Jun Pang
arXiv 2023. [Paper]
24 Jan 2023
Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks
Lars Lien Ankile, Anna Midgley, Sebastian Weisshaar
arXiv 2023. [Paper] [Github]
17 Jan 2023
Fight Fire With Fire: Reversing Skin Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism
Yongwei Wang1, Yuan Li1, Zhiqi Shen
arXiv 2022. [Paper]
22 Aug 2022
DensePure: Understanding Diffusion Models towards Adversarial Robustness
Chaowei Xiao1, Zhongzhu Chen1, Kun Jin1, Jiongxiao Wang1, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
NeurIPS 2022. [Paper]
1 Nov 2022
Improving Adversarial Robustness by Contrastive Guided Diffusion Process
Yidong Ouyang, Liyan Xie, Guang Cheng
arXiv 2022. [Paper]
18 Oct 2022
Differentially Private Diffusion Models
Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis
arXiv 2022. [Paper] [Project]
18 Oct 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao
arXiv 2022. [Paper]
21 Aug 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models
Tsachi Blau, Roy Ganz, Bahjat Kawar, Alex Bronstein, Michael Elad
arXiv 2022. [Paper]
17 Jul 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation
Jin Gao1, Jialing Zhang1, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
arXiv 2022. [Paper]
7 Jul 2022
Guided Diffusion Model for Adversarial Purification from Random Noise
Quanlin Wu, Hang Ye, Yuntian Gu
arXiv 2022. [Paper]
17 Jun 2022
(Certified!!) Adversarial Robustness for Free!
Nicholas Carlini, Florian Tramer, Krishnamurthy (Dj)Dvijotham, J. Zico Kolter
arXiv 2022. [Paper]
21 Jun 2022
Guided Diffusion Model for Adversarial Purification
Jinyi Wang1, Zhaoyang Lyu1, Dahua Lin, Bo Dai, Hongfei Fu
ICML 2022. [Paper] [Github]
30 May 2022
Diffusion Models for Adversarial Purification
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Anima Anandkumar
ICML 2022. [Paper] [Project] [Github]
16 May 2022
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models
Tijin Yan, Tong Zhou, Yufeng Zhan, Yuanqing Xia
arXiv 2021. [Paper]
20 Dec 2021
Adversarial purification with Score-based generative models
Jongmin Yoon, Sung Ju Hwang, Juho Lee
ICML 2021. [Paper] [Github]
11 Jun 2021
Boosting Zero-shot Classification with Synthetic Data Diversity via Stable Diffusion
Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh, Wei Xiang, Clinton Fookes
arXiv 2023. [Paper]
7 Feb 2023
Learning End-to-End Channel Coding with Diffusion Models
Muah Kim, Rick Fritschek, Rafael F. Schaefer
arXiv 2023. [Paper]
3 Feb 2023
Extracting Training Data from Diffusion Models
Nicholas Carlini1, Jamie Hayes1, Milad Nasr1, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
arXiv 2023. [Paper]
2 Feb 2023
Diffusion Models for High-Resolution Solar Forecasts
Yusuke Hatanaka, Yannik Glaser, Geoff Galgon, Giuseppe Torri, Peter Sadowski
arxiv 2023. [Paper]
1 Feb 2023
A Denoising Diffusion Model for Fluid Field Prediction
Gefan Yang1, Stefan Sommer1
arXiv 2023. [Paper]
27 Jan 2023
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre
arXiv 2023. [Paper]
27 Jan 2023
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li
arXiv 2023. [Paper]
27 Jan 2023
Screen Space Indirect Lighting with Visibility Bitmask
Olivier Therrien, Yannick Levesque, Guillaume Gilet
arXiv 2023. [Paper]
26 Jan 2023
On the Importance of Noise Scheduling for Diffusion Models
Ting Chen
arXiv 2023. [Paper]
26 Jan 2023
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas Guibas
arXiv 2023. [Paper] [Project]
23 Jan 2023
Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models
Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma
arXiv 2023. [Paper]
19 Jan 2023
Neural Image Compression with a Diffusion-Based Decoder
Noor Fathima Goose1, Jens Petersen1, Auke Wiggers1, Tianlin Xu, Guillaume Sautière
arXiv 2023. [Paper]
13 Jan 2023
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
Mohamed Akrout1, Bálint Gyepesi1, Péter Holló, Adrienn Poór, Blága Kincső, Stephen Solis, Katrina Cirone, Jeremy Kawahara, Dekker Slade, Latif Abid, Máté Kovács, István Fazekas
arXiv 2023/ [Paper]
12 Jan 2023
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran
arXiv 2023. [Paper] [Project] [Github]
10 Jan 2023
Diffusion Models For Stronger Face Morphing Attacks
Zander Blasingame, Chen Liu
arXiv 2023. [Paper]
10 Jan 2023
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis
Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper]
10 Jan 2023
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran
arXiv 2023. [Paper]
10 Jan 2023
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
Michał Stypułkowski, Konstantinos Vougioukas, Sen He, Maciej Zięba, Stavros Petridis, Maja Pantic
arXiv 2023. [Paper] [Project]
6 Jan 2023
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias
Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan
arXiv 2022. [Paper]
21 Dec 2022
AI Art in Architecture
Joern Ploennigs, Markus Berger
arXiv 2022. [Paper]
19 Dec 2022
Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability
Lorin Sweeney, Graham Healy, Alan F. Smeaton
arXiv 2022. [Paper]
19 Dec 2022
Fake it till you make it: Learning(s) from a synthetic ImageNet clone
Mert Bulent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis
arXiv 2022. [Paper]
16 Dec 2022
The Infinite Index: Information Retrieval on Generative Text-To-Image Models
Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, Martin Potthast
arXiv 2022. [Paper]
14 Dec 2022
LidarCLIP or: How I Learned to Talk to Point Clouds
Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström
arXiv 2022. [Paper] [Github]
13 Dec 2022
Diff-Font: Diffusion Model for Robust One-Shot Font Generation
Haibin He, Xinyuan Chen, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao, Yu Qiao
arXiv 2022. [Paper]
12 Dec 2022
DiffAlign : Few-shot learning using diffusion based synthesis and alignment
Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa
arXiv 2022. [Paper]
11 Dec 2022
How to Backdoor Diffusion Models?
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
arXiv 2022. [Paper]
11 Dec 2022
Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors
Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang
arXiv 2022. [Paper] [Project]
7 Dec 2022
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2022. [Paper]
7 Dec 2022
Neural Cell Video Synthesis via Optical-Flow Diffusion
Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris, Min Zou
arXiv 2022. [Paper]
6 Dec 2022
Semantic-Conditional Diffusion Networks for Image Captioning
Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Jianlin Feng, Hongyang Chao, Tao Mei
arXiv 2022. [Paper] [Github]
6 Dec 2022
ObjectStitch: Generative Object Compositing
Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, Daniel Aliaga
arXiv 2022. [Paper]
2 Dec 2022
Post-training Quantization on Diffusion Models
Yuzhang Shang1, Zhihang Yuan1, Bin Xie1, Bingzhe Wu, Yan Yan
arXiv 2022. [Paper]
28 Nov 2022
Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning
Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye
arXiv 2022. [Paper] [Github]
28 Nov 2022
Diffusion Probabilistic Model Made Slim
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
arXiv 2022. [Paper]
27 Nov 2022
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
German Barquero, Sergio Escalera, Cristina Palmero
arXiv 2022. [Paper]
25 Nov 2022
JigsawPlan: Room Layout Jigsaw Puzzle Extreme Structure from Motion using Diffusion Models
Sepidehsadat Hosseini, Mohammad Amin Shabani, Saghar Irandoust, Yasutaka Furukawa
arXiv 2022. [Paper] [Project]
24 Nov 2022
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
Mohammad Amin Shabani, Sepidehsadat Hosseini, Yasutaka Furukawa
arXiv 2022. [Paper] [Project]
23 Nov 2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
Tanzila Rahman, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Shweta Mahajan, Leonid Sigal
arXiv 2022. [Paper]
23 Nov 2022
Inversion-Based Creativity Transfer with Diffusion Models
Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu
arXiv 2022. [Paper]
23 Nov 2022
Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition
Jennifer C. White, Ryan Cotterell
arXiv 2022. [Paper]
23 Nov 2022
Can denoising diffusion probabilistic models generate realistic astrophysical fields?
Nayantara Mudur, Douglas P. Finkbeiner
NeurIPS Workshop 2022. [Paper]
22 Nov 2022
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein
arXiv 2022. [Paper] [Project]
22 Nov 2022
Person Image Synthesis via Denoising Diffusion Model
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
arXiv 2022. [Paper]
22 Nov 2022
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection
Luping Liu, Yi Ren, Xize Cheng, Zhou Zhao
arXiv 2022. [Paper] [Github]
21 Nov 2022
Exploring Discrete Diffusion Models for Image Captioning
Zixin Zhu, Yixuan Wei, Jianfeng Wang, Zhe Gan, Zheng Zhang, Le Wang, Gang Hua, Lijuan Wang, Zicheng Liu, Han Hu
arXiv 2022. [Paper] [Github]
21 Nov 2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen
arXiv 2022. [Paper]
20 Nov 2022
DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen, Peize Sun, Yibing Song, Ping Luo
arXiv 2022. [Paper] [Github]
17 Nov 2022
Learning to Kindle the Starlight
Yu Yuan, Jiaqi Wu, Lindong Wang, Zhongliang Jing, Henry Leung, Shuyuan Zhu, Han Pan
arXiv 2022. [Paper]
16 Nov 2022
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming
Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu
arXiv 2022. [Paper]
15 Nov 2022
ShadowDiffusion: Diffusion-based Shadow Removal using Classifier-driven Attention and Structure Preservation
Yeying Jin, Wenhan Yang, Wei Ye, Yuan Yuan, Robby T. Tan
arXiv 2022. [Paper]
15 Nov 2022
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
Zhihong Pan, Xin Zhou, Hao Tian
arXiv 2022. [Paper]
14 Nov 2022
Denoising Diffusion Models for Out-of-Distribution Detection
Mark S. Graham, Walter H.L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
arXiv 2022. [Paper]
14 Nov 2022
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion
Andreas Stöckl
arXiv 2022. [Paper]
3 Nov 2022
Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
arXiv 2022. [Paper] [Github]
2 Nov 2022
On the detection of synthetic images generated by diffusion models
Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva
arXiv 2022. [Paper]
1 Nov 2022
DOLPH: Diffusion Models for Phase Retrieval
Shirin Shoushtari1, Jiaming Liu1, Ulugbek S. Kamilov
arXiv 2022. [Paper]
1 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan
arXiv 2022. [Paper]
30 Oct 2022
Towards the Detection of Diffusion Model Deepfakes
Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer
arXiv 2022. [Paper]
26 Oct 2022
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou
arXiv 2022. [Paper] [Github]
25 Oct 2022
Boomerang: Local sampling on image manifolds using diffusion models
Lorenzo Luzi, Ali Siahkoohi, Paul M Mayer, Josue Casco-Rodriguez, Richard Baraniuk
arXiv 2022. [Paper] [Colab]
21 Oct 2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Dong Chen, Xinda Qi, Yu Zheng, Yuzhen Lu, Zhaojian Li
arXiv 2022. [Paper] [Github]
18 Oct 2022
Meta-Learning via Classifier(-free) Guidance
Elvis Nava1, Seijin Kobayashi1, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe
arXiv 2022. [Paper]
17 Oct 2022
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models
Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang
arXiv 2022. [Paper]
13 Oct 2022
Markup-to-Image Diffusion Models with Scheduled Sampling
Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
arXiv 2022. [Paper]
11 Oct 2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Raphael Tang, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Jimmy Lin, Ferhan Ture
arXiv 2022. [Paper] [Github]
10 Oct 2022
CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning
Shitong Xu
arXiv 2022. [Paper] [Github]
10 Oct 2022
TopoDiff: A Performance and Constraint-Guided Diffusion Model for Topology Optimization
François Mazé, Faez Ahmed
arXiv 2022. [Paper]
20 Aug 2022
Diffusion Models Beat GANs on Topology Optimization
François Mazé, Faez Ahmed
arXiv 2022. [Paper] [Project] [Github]
20 Aug 2022
Vector Quantized Diffusion Model with CodeUnet for Text-to-Sign Pose Sequences Generation
Pan Xie, Qipeng Zhang, Zexian Li, Hao Tang, Yao Du, Xiaohui Hu
arXiv 2022. [Paper]
19 Aug 2022
Deep Diffusion Models for Seismic Processing
Ricard Durall, Ammar Ghanim, Mario Fernandez, Norman Ettrich, Janis Keuper
arXiv 2022. [Paper]
21 Jul 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Tianpei Gu1, Guangyi Chen1, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
CVPR 2022. [Paper] [Github]
25 Mar 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
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arXiv 2021. [Paper]
10 Feb 2021
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
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arXiv 2023. [Paper] [Project]
4 Feb 2023
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
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arXiv 2022. [Paper] [Github]
19 Dec 2022
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation
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arXiv 2022. [Paper] [Project]
1 Nov 2022
Full-band General Audio Synthesis with Score-based Diffusion
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arXiv 2022. [Paper]
26 Oct 2022
Hierarchical Diffusion Models for Singing Voice Neural Vocoder
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arXiv 2022. [Paper]
14 Oct 2022
Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GAN
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arXiv 2022. [Paper] [Project]
21 Sep 2022
DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation
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ISMIR 2022. [Paper] [Github]
9 Aug 2022
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
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arXiv 2022. [Paper] [Project]
13 Jul 2022
CARD: Classification and Regression Diffusion Models
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NeurIPS 2022. [Paper]
15 Jun 2022
Adversarial Audio Synthesis with Complex-valued Polynomial Networks
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arXiv 2022. [Paper]
14 Jun 2022
Multi-instrument Music Synthesis with Spectrogram Diffusion
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ISMIR 2022. [Paper]
11 Jun 2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
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NeurIPS 2022. [Paper] [Github]
30 May 2022
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis
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IJCAI 2022. [Paper] [Project] [Github]
21 Apr 2022
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping
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arXiv 2022. [Paper]
31 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
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ICLR 2022. [Paper] [Github]
25 Mar 2022
ItôWave: Itô Stochastic Differential Equation Is All You Need For Wave Generation
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CoRR 2022. [Paper] [Project]
29 Jan 2022
Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives
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arXiv 2021. [Paper]
26 Dec 2021
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arXiv 2021. [Paper]
10 Oct 2021
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NeurIPS 2021. [Paper] [Github]
1 Jul 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
Simon Rouard1, Gaëtan Hadjeres1
ISMIR 2021. [Paper] [Project]
14 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior
Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
ICLR 2022. [Paper] [Project]
11 Jun 2021
ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation
Shoule Wu1, Ziqiang Shi1
arXiv 2022. [Paper] [Project]
17 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Jinglin Liu1, Chengxi Li1, Yi Ren1, Feiyang Chen, Peng Liu, Zhou Zhao
AAAI 2022. [Paper] [Project] [Github]
6 May 2021
Symbolic Music Generation with Diffusion Models
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30 Mar 2021
DiffWave: A Versatile Diffusion Model for Audio Synthesis
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21 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation
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2 Sep 2020
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion
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28 May 2021
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28 Sep 2021
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arXiv 2022. [Paper]
22 Dec 2022
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arXiv 2022. [Paper]
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DiffPhase: Generative Diffusion-based STFT Phase Retrieval
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arXiv 2022. [Paper]
8 Nov 2022
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arXiv 2022. [Paper]
4 Nov 2022
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
ICASSP [Paper] [Project] [Github]
4 Nov 2022
SRTNet: Time Domain Speech Enhancement Via Stochastic Refinement
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30 Oct 2022
A Versatile Diffusion-based Generative Refiner for Speech Enhancement
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Conditioning and Sampling in Variational Diffusion Models for Speech Super-resolution
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27 Oct 2022
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27 Oct 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
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11 Aug 2022
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17 Jun 2022
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7 Jun 2022
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31 Mar 2022
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10 Feb 2022
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25 Jul 2021
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6 Apr 2021
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arXiv 2023. [Paper] [Project]
4 Feb 2023
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arXiv 2023. [Paper]
25 Jan 2023
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation
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arXiv 2022. [Paper]
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arXiv 2022. [Paper]
31 Oct 2022
Instrument Separation of Symbolic Music by Explicitly Guided Diffusion Model
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arXiv 2022. [Paper]
5 Sep 2022
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
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Noise2Music: Text-conditioned Music Generation with Diffusion Models
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8 Feb 2023
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
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27 Jan 2023
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt
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Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
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arXiv 2023. [Paper] [Project]
30 Jan 2023
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
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arXiv 2023. [Paper] [Project] [[Github(https://github.com/haoheliu/AudioLDM)]
29 Jan 2023
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
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arXiv 2022. [Paper] [Project]
30 Dec 2022
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arXiv 2022. [Paper]
16 Dec 2022
Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models
Minki Kang, Dongchan Min, Sung Ju Hwang
arXiv 2022. [Paper] [Project]
17 Nov 2022
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance
Yiwei Guo, Chenpeng Du, Xie Chen, Kai Yu
arXiv 2022. [Paper] [Project]
17 Nov 2022
NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS
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4 Nov 2022
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration
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arXiv 2022. [Paper] [Project]
3 Oct 2022
Diffsound: Discrete Diffusion Model for Text-to-sound Generation
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arXiv 2022. [Paper] [Project]
20 Jul 2022
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
Alon Levkovitch, Eliya Nachmani, Lior Wolf
arXiv 2022. [Paper] [Project]
5 Jun 2022
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
Sungwon Kim1, Heeseung Kim1, Sungroh Yoon
arXiv 2022. [Paper] [Project]
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InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training
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ICASSP 2022. [Paper]
8 Feb 2022
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Songxiang Liu, Dan Su, Dong Yu
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28 Jan 2022
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Heeseung Kim, Sungwon Kim, Sungroh Yoon
ICML 2021. [Paper]
32 Nov 2021
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Jaesung Tae1, Hyeongju Kim1, Taesu Kim
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6 Oct 2021
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17 Jun 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
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ICML 2021. [Paper] [Project] [Github]
13 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Jinglin Liu1, Chengxi Li1, Yi Ren1, Feiyang Chen, Peng Liu, Zhou Zhao
arXiv 2021. [Paper] [Project] [Github]
6 May 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
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3 Apr 2021
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14 Oct 2022
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20 Dec 2022
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20 Dec 2022
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19 Dec 2022
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28 Nov 2022
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27 May 2022
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Eliya Nachmani1, Shaked Dovrat1
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MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model
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8 Feb 2023
Diffusion-based Conditional ECG Generation with Structured State Space Models
Juan Miguel Lopez Alcaraz, Nils Strodthoff
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19 Jan 2023
TabDDPM: Modelling Tabular Data with Diffusion Models
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30 Sep 2022
TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting
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16 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
NeurIPS 2022. [Paper] [Github]
8 Jan 2023
Denoising diffusion probabilistic models for probabilistic energy forecasting
Esteban Hernandez, Jonathan Dumas
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19 Aug 2022
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ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models
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18 Jun 2021
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Diffusion models for missing value imputation in tabular data
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Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Miguel Lopez Alcaraz, Nils Strodthoff
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19 Aug 2022
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
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7 Jul 2021
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li
arXiv 2022. [Paper]
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GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion
Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia
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Graph Generation with Destination-Driven Diffusion Mixture
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DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
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DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
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NVDiff: Graph Generation through the Diffusion of Node Vectors
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Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics
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Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction
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22 Jan 2023
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
Haitao Lin1, Yufei Huang1, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li
arXiv 2022. [Paper]
21 Nov 2022
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials
Shehtab Zaman, Ethan Ferguson, Cecile Pereira, Denis Akhiyarov, Mauricio Araya-Polo, Kenneth Chiu
arXiv 2022. [Paper]
15 Nov 2022
Structure-based Drug Design with Equivariant Diffusion Models
Arne Schneuing1, Yuanqi Du1, Charles Harris, Arian Jamasb, Ilia Igashov, Weitao Du, Tom Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael Bronstein, Bruno Correia
arXiv 2022. [Paper]
24 Oct 2022
Protein Sequence and Structure Co-Design with Equivariant Translation
Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
arXiv 2022. [Paper]
17 Oct 2022
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael Bronstein, Bruno Correia
arXiv 2022. [Paper]
11 Oct 2022
Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models
Zhuoran Qiao, Weili Nie, Arash Vahdat, Thomas F. Miller III, Anima Anandkumar
arXiv 2022. [Paper]
30 Sep 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design
Fan Bao1, Min Zhao1, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
arXiv 2022. [Paper]
30 Sep 2022
Protein structure generation via folding diffusion
Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini
arXiv 2022. [Paper]
30 Sep 2022
MDM: Molecular Diffusion Model for 3D Molecule Generation
Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
arXiv 2022. [Paper]
13 Sep 2022
Diffusion-based Molecule Generation with Informative Prior Bridges
Lemeng Wu1, Chengyue Gong1, Xingchao Liu, Mao Ye, Qiang Liu
NeurIPS 2022. [Paper]
2 Sep 2022
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models
Shitong Luo1, Yufeng Su1, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma
BioRXiv 2022. [Paper]
11 July 2022
Data-driven discovery of novel 2D materials by deep generative models
Peder Lyngby, Kristian Sommer Thygesen
arXiv 2022. [Paper]
24 Jun 2022
Score-based Generative Models for Calorimeter Shower Simulation
Vinicius Mikuni, Benjamin Nachman
arXiv 2022. [Paper]
17 Jun 2022
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
Brian L. Trippe1, Jason Yim1, Doug Tischer, Tamara Broderick, David Baker, Regina Barzilay, Tommi Jaakkola
CoRR 2022. [Paper]
8 Jun 2022'
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing, Gabriele Corso, Regina Barzilay, Tommi S. Jaakkola
ICLR Workshop 2022. [Paper] [Github]
1 Jun 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand, Tudor Achim
arXiv 2022. [Paper] [Project] [Github]
26 May 2022
A Score-based Geometric Model for Molecular Dynamics Simulations
Fang Wu1, Qiang Zhang1, Xurui Jin, Yinghui Jiang, Stan Z. Li
CoRR 2022. [Paper]
19 Apr 2022
Equivariant Diffusion for Molecule Generation in 3D
Emiel Hoogeboom1, Victor Garcia Satorras1, Clément Vignac, Max Welling
ICML 2022. [Paper] [Github]
31 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
ICLR 2022. [Paper] [Github]
6 Mar 2022
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie1, Xiang Fu1, Octavian-Eugen Ganea1, Regina Barzilay, Tommi Jaakkola
NeurIPS 2021. [Paper] [Github]
12 Oct 2021
Predicting Molecular Conformation via Dynamic Graph Score Matching
Shitong Luo, Chence Shi, Minkai Xu, Jian Tang
NeurIPS 2021. [Paper]
22 May 2021
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo
arXiv 2023. [Paper]
3 Feb 2023
Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
ICLR 2023. [Paper]
25 Jan 2023
Is Conditional Generative Modeling all you need for Decision-Making?
Anurag Ajay1, Yilun Du1, Abhi Gupta1, Joshua Tenenbaum, Tommi Jaakkola, Pulkit Agrawal
arXiv 2022. [Paper]
28 Nov 2022
LAD: Language Augmented Diffusion for Reinforcement Learning
Edwin Zhang, Yujie Lu, William Wang, Amy Zhang
NeurIPS Workshop 2022. [Paper]
27 Oct 2022
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
Zhendong Wang, Jonathan J Hunt, Mingyuan Zhou
arXiv 2022. [Paper] [Github]
12 Oct 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
arXiv 2022. [Paper]
29 Sep 2022
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine
ICML 2022. [Paper] [Github]
20 May 2022
Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation
Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
arXiv 2023. [Paper]
10 Feb 2023
Example-Based Sampling with Diffusion Models
Bastien Doignies, Nicolas Bonneel, David Coeurjolly, Julie Digne, Loïs Paulin, Jean-Claude Iehl, Victor Ostromoukhov
arXiv 2023. [Paper]
10 Feb 2023
Information-Theoretic Diffusion
Xianghao Kong, Rob Brekelmans, Greg Ver Steeg
ICLR 2023. [Paper] [Github]
7 Feb 2023
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport
Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, Yoshua Bengio
arXiv 2023. [Paper] [Github]
1 Feb 2023
Transport with Support: Data-Conditional Diffusion Bridges
Ella Tamir, Martin Trapp, Arno Solin
arXiv 2023. [Paper]
31 Jan 2023
Understanding and contextualising diffusion models
Stefano Scotta, Alberto Messina
arXiv 2023. [Paper]
26 Jan 2023
On the Mathematics of Diffusion Models
David McAllester
arXiv 2023. [Paper]
25 Jan 2023
Understanding the diffusion models by conditional expectations
Yubin Lu, Zhongjian Wang, Guillaume Bal
arXiv 2023. [Paper]
19 Jan 2023
Thompson Sampling with Diffusion Generative Prior
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum
arXiv 2023. [Paper]
12 Jan 2023
Your diffusion model secretly knows the dimension of the data manifold
Georgios Batzolis1, Jan Stanczuk1, Carola-Bibiane Schönlieb
arXiv 2022. [Paper]
23 Dec 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
Dohyun Kwon, Ying Fan, Kangwook Lee
NeurIPS 2022. [Paper] [Github]
13 Dec 2022
Nonlinear controllability and function representation by neural stochastic differential equations
Tanya Veeravalli, Maxim Raginsky
arXiv 2022. [Paper]
1 Dec 2022
Diffusion Generative Models in Infinite Dimensions
Gavin Kerrigan, Justin Ley, Padhraic Smyth
arXiv 2022. [Paper]
1 Dec 2022
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations
Simon M. Koop, Mark A. Peletier, Jacobus W. Portegies, Vlado Menkovski
arXiv 2022. [Paper]
17 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions
Hongrui Chen, Holden Lee, Jianfeng Lu
arXiv 2022. [Paper]
3 Nov 2022
Categorical SDEs with Simplex Diffusion
Pierre H. Richemond, Sander Dieleman, Arnaud Doucet
arXiv 2022. [Paper]
26 Oct 2022
Diffusion Models for Causal Discovery via Topological Ordering
Pedro Sanchez, Xiao Liu, Alison Q O'Neil, Sotirios A. Tsaftaris
arXiv 2022. [Paper] [Github]
12 Oct 2022
Regularizing Score-based Models with Score Fokker-Planck Equations
Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
arXiv 2022. [Paper]
9 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
Louis Sharrock, Jack Simons, Song Liu, Mark Beaumont
arXiv 2022. [Paper]
10 Oct 2022
Analyzing Diffusion as Serial Reproduction
Raja Marjieh, Ilia Sucholutsky, Thomas A. Langlois, Nori Jacoby, Thomas L. Griffiths
arXiv 2022. [Paper]
29 Sep 2022
Convergence of score-based generative modeling for general data distributions
Holden Lee, Jianfeng Lu, Yixin Tan
arXiv 2022. [Paper]
26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru R. Zhang
arXiv 2022. [Paper]
22 Sep 2022
Riemannian Diffusion Models
Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron Courville
NeurIPS 2022. [Paper]
16 Aug 2022
Convergence of denoising diffusion models under the manifold hypothesis
Valentin De Bortoli
arXiv 2022. [Paper]
10 Aug 2022
Neural Diffusion Processes
Vincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus Simpson
arXiv 2022. [Paper]
8 Jun 2022
Theory and Algorithms for Diffusion Processes on Riemannian Manifolds
Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola
arXiv 2022. [Paper] [Github]
1 Jun 2022
Riemannian Score-Based Generative Modeling
Valentin De Bortoli1, Emile Mathieu1, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
arXiv 2022. [Paper]
6 Feb 2022
Interpreting diffusion score matching using normalizing flow
Wenbo Gong1, Yingzhen Li1
ICML Workshop 2021. [Paper]
21 Jul 2021
A Connection Between Score Matching and Denoising Autoencoders
Pascal Vincent
Neural Computation 2011. [Paper]
7 Jul 2011
Bayesian Learning via Stochastic Gradient Langevin Dynamics
Max Welling, Yee Whye Teh
ICML 2011. [Paper] [Github]
20 Apr 2011
Interventional and Counterfactual Inference with Diffusion Models
Patrick Chao, Patrick Blöbaum, Shiva Prasad Kasiviswanathan
arXiv 2023. [Paper]
2 Feb 2023
Denoising Diffusion for Sampling SAT Solutions
Karlis Freivalds, Sergejs Kozlovics
NeurIPS Workshop 2022. [Paper]
30 Nov 2022
Graphically Structured Diffusion Models
Christian Weilbach, William Harvey, Frank Wood
arXiv 2022. [Paper]
20 Oct 2022
Denoising Diffusion Error Correction Codes
Yoni Choukroun, Lior Wolf
arXiv 2022. [Paper]
16 Sep 2022
Recommendation via Collaborative Diffusion Generative Model
Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou
KSEM 2022. [Paper]
19 Jul 2022
Deep Diffusion Models for Robust Channel Estimation
Marius Arvinte, Jonathan I Tamir
arXiv 2021. [Paper] [Github]
16 Nov 2021
Diffusion models for Handwriting Generation
Troy Luhman1, Eric Luhman1
arXiv 2020. [Paper] [Github]
13 Nov 2020