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DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis

January 10, 2023 Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu
cs.CV

Image Denoising: The Deep Learning Revolution and Beyond – A Survey Paper –

January 09, 2023 Michael Elad, Bahjat Kawar, Gregory Vaksman
eess.IV, cs.CV

Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement

January 08, 2023 Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
cs.LG

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction

January 08, 2023 Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
eess.IV, cs.CV, cs.LG

Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation

January 06, 2023 Michał Stypułkowski, Konstantinos Vougioukas, Sen He, Maciej Zięba, Stavros Petridis, Maja Pantic
cs.CV

Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data

January 02, 2023 Jumin Lee, Woobin Im, Sebin Lee, Sung-Eui Yoon
cs.CV

Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation

January 01, 2023 Han Huang, Leilei Sun, Bowen Du, Weifeng Lv
cs.LG, q-bio.BM

Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification

January 01, 2023 Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou
cs.CV, cs.AI

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech

December 30, 2022 Zehua Chen, Yihan Wu, Yichong Leng, Jiawei Chen, Haohe Liu, Xu Tan, Yang Cui, Ke Wang, Lei He, Sheng Zhao, Jiang Bian, Danilo Mandic
eess.AS, cs.CL, cs.LG, cs.SD, eess.SP

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models

December 28, 2022 Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao
cs.CV, I.4.8

Exploring Vision Transformers as Diffusion Learners

December 28, 2022 He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang
cs.CV

Exploring Transformer Backbones for Image Diffusion Models

December 27, 2022 Princy Chahal
cs.CV

DiffFace: Diffusion-based Face Swapping with Facial Guidance

December 27, 2022 Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee
cs.CV

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models

December 26, 2022 Zijian Zhang, Zhou Zhao, Zhijie Lin
cs.CV, cs.AI

Your diffusion model secretly knows the dimension of the data manifold

December 23, 2022 Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb
cs.LG, stat.ML

Scalable Adaptive Computation for Iterative Generation

December 22, 2022 Allan Jabri, David Fleet, Ting Chen
cs.LG, cs.CV, cs.NE

StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

December 22, 2022 Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
eess.AS, cs.LG, cs.SD

GENIE: Large Scale Pre-training for Text Generation with Diffusion Model

December 22, 2022 Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan
cs.CL, cs.LG

Character-Aware Models Improve Visual Text Rendering

December 20, 2022 Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant
cs.CL, cs.CV

Scalable Diffusion Models with Transformers

December 19, 2022 William Peebles, Saining Xie
cs.CV, cs.LG

Latent Diffusion for Language Generation

December 19, 2022 Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Weinberger
cs.CL, cs.LG

Difformer: Empowering Diffusion Model on Embedding Space for Text Generation

December 19, 2022 Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu
cs.CL, cs.AI, cs.LG

Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability

December 19, 2022 Lorin Sweeney, Graham Healy, Alan F. Smeaton
cs.CV, cs.AI

Speed up the inference of diffusion models via shortcut MCMC sampling

December 18, 2022 Gang Chen
cs.CV, cs.LG, 68T10, I.2.6

Point-E: A System for Generating 3D Point Clouds from Complex Prompts

December 16, 2022 Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, Mark Chen
cs.CV, cs.LG

Diffusion Probabilistic Models beat GANs on Medical Images

December 14, 2022 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
eess.IV, cs.CV

SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging

December 14, 2022 Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu
eess.IV, cs.CV

DifFace: Blind Face Restoration with Diffused Error Contraction

December 13, 2022 Zongsheng Yue, Chen Change Loy
cs.CV, I.4.4

HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping

December 13, 2022 Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu
cs.CV

Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance

December 13, 2022 Dohyun Kwon, Ying Fan, Kangwook Lee
cs.LG, cs.AI, cs.NA, math.NA

The Stable Artist: Steering Semantics in Diffusion Latent Space

December 12, 2022 Manuel Brack, Patrick Schramowski, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting
cs.CV, cs.AI, cs.LG

Diff-Font: Diffusion Model for Robust One-Shot Font Generation

December 12, 2022 Haibin He, Xinyuan Chen, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao, Yu Qiao
cs.CV

DiffAlign : Few-shot learning using diffusion based synthesis and alignment

December 11, 2022 Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa
cs.CV

How to Backdoor Diffusion Models?

December 11, 2022 Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
cs.CV, cs.CR, cs.LG

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal

December 09, 2022 Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen
cs.CV, I.2.10; I.5.4

MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis

December 08, 2022 Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt
cs.CV

SINE: SINgle Image Editing with Text-to-Image Diffusion Models

December 08, 2022 Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris Metaxas, Jian Ren
cs.CV, cs.AI

Diffusion Guided Domain Adaptation of Image Generators

December 08, 2022 Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris Metaxas, Ahmed Elgammal
cs.CV

Executing your Commands via Motion Diffusion in Latent Space

December 08, 2022 Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
cs.CV, cs.GR

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

December 07, 2022 Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein
cs.LG, cs.CV, cs.CY

Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors

December 07, 2022 Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang
cs.GR, cs.CV, cs.SD, eess.AS

One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging

December 07, 2022 Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu
eess.IV, cs.CV

Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density

December 06, 2022 Curtis McDonald, Andrew Barron
stat.ML, cs.LG, stat.ME

Diffusion-SDF: Text-to-Shape via Voxelized Diffusion

December 06, 2022 Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
cs.CV, cs.AI, cs.GR, cs.LG

NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors

December 06, 2022 Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov
cs.CV

SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction

December 01, 2022 Zhizhuo Zhou, Shubham Tulsiani
cs.CV, cs.GR

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

December 01, 2022 Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich
cs.CV, cs.LG

VIDM: Video Implicit Diffusion Models

December 01, 2022 Kangfu Mei, Vishal M. Patel
cs.CV

Shape-Guided Diffusion with Inside-Outside Attention

December 01, 2022 Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell
cs.CV, cs.AI, cs.LG

Denoising Diffusion for Sampling SAT Solutions

November 30, 2022 Karlis Freivalds, Sergejs Kozlovics
cs.AI, cs.LG

Multiresolution Textual Inversion

November 30, 2022 Giannis Daras, Alexandros G. Dimakis
cs.CV, cs.AI, cs.LG

High-Fidelity Guided Image Synthesis with Latent Diffusion Models

November 30, 2022 Jaskirat Singh, Stephen Gould, Liang Zheng
cs.CV, cs.AI, cs.LG, stat.ML

DiffPose: Toward More Reliable 3D Pose Estimation

November 30, 2022 Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu
cs.CV

Score-based Continuous-time Discrete Diffusion Models

November 30, 2022 Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
cs.LG

3D Neural Field Generation using Triplane Diffusion

November 30, 2022 J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein
cs.CV, cs.AI, cs.GR

SinDDM: A Single Image Denoising Diffusion Model

November 29, 2022 Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli
cs.CV, cs.LG, eess.IV

DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models

November 29, 2022 Karl Holmquist, Bastian Wandt
cs.CV

Wavelet Diffusion Models are fast and scalable Image Generators

November 29, 2022 Hao Phung, Quan Dao, Anh Tran
cs.CV, eess.IV

Dimensionality-Varying Diffusion Process

November 29, 2022 Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng
cs.LG, cs.CV

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models

November 28, 2022 Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon
cs.CV, cs.AI, cs.LG

Post-training Quantization on Diffusion Models

November 28, 2022 Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan
cs.CV

Continuous diffusion for categorical data

November 28, 2022 Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler
cs.CL, cs.LG

DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

November 28, 2022 Zhengfu He, Tianxiang Sun, Kuanning Wang, Xuanjing Huang, Xipeng Qiu
cs.CL, cs.AI, cs.LG

Diffusion Probabilistic Model Made Slim

November 27, 2022 Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
cs.CV, eess.IV

Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs

November 27, 2022 Guangrun Wang, Philip H. S. Torr
cs.CV, cs.AI, cs.LG, cs.MM, stat.ML

BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

November 25, 2022 German Barquero, Sergio Escalera, Cristina Palmero
cs.CV

Latent Space Diffusion Models of Cryo-EM Structures

November 25, 2022 Karsten Kreis, Tim Dockhorn, Zihao Li, Ellen Zhong
q-bio.QM, stat.ML

3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models

November 25, 2022 Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
cs.CV

DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions

November 24, 2022 Gene Chou, Yuval Bahat, Felix Heide
cs.CV

Sketch-Guided Text-to-Image Diffusion Models

November 24, 2022 Andrey Voynov, Kfir Aberman, Daniel Cohen-Or
cs.CV, cs.GR, cs.LG

Fast Sampling of Diffusion Models via Operator Learning

November 24, 2022 Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar
cs.LG, cs.CV

Shifted Diffusion for Text-to-image Generation

November 24, 2022 Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
cs.CV, cs.AI, cs.LG

Improving dermatology classifiers across populations using images generated by large diffusion models

November 23, 2022 Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai
eess.IV, cs.CV, cs.LG

HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising

November 23, 2022 Mohammad Amin Shabani, Sepidehsadat Hosseini, Yasutaka Furukawa
cs.CV, cs.AI

Paint by Example: Exemplar-based Image Editing with Diffusion Models

November 23, 2022 Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, Fang Wen
cs.CV

Tetrahedral Diffusion Models for 3D Shape Generation

November 23, 2022 Nikolai Kalischek, Torben Peters, Jan D. Wegner, Konrad Schindler
cs.CV, cs.GR, cs.LG

Inversion-Based Creativity Transfer with Diffusion Models

November 23, 2022 Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu
cs.CV, cs.GR

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

November 22, 2022 Narek Tumanyan, Michal Geyer, Shai Bagon, Tali Dekel
cs.CV, cs.AI

Person Image Synthesis via Denoising Diffusion Model

November 22, 2022 Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
cs.CV

EDICT: Exact Diffusion Inversion via Coupled Transformations

November 22, 2022 Bram Wallace, Akash Gokul, Nikhil Naik
cs.CV, cs.AI, cs.LG

SinDiffusion: Learning a Diffusion Model from a Single Natural Image

November 22, 2022 Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li
cs.CV

Can denoising diffusion probabilistic models generate realistic astrophysical fields?

November 22, 2022 Nayantara Mudur, Douglas P. Finkbeiner
astro-ph.CO, astro-ph.GA, astro-ph.IM, cs.LG

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction

November 22, 2022 Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim
eess.IV, cs.CV

DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models

November 22, 2022 Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein
cs.CV

SinFusion: Training Diffusion Models on a Single Image or Video

November 21, 2022 Yaniv Nikankin, Niv Haim, Michal Irani
cs.CV, cs.LG

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models

November 21, 2022 Ajay Jain, Amber Xie, Pieter Abbeel
cs.CV, cs.AI, cs.GR, cs.LG

Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection

November 21, 2022 Luping Liu, Yi Ren, Xize Cheng, Zhou Zhao
cs.CV, cs.AI, cs.LG, stat.ML

Investigating Prompt Engineering in Diffusion Models

November 21, 2022 Sam Witteveen, Martin Andrews
cs.CV, cs.AI, cs.CL

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training

November 21, 2022 Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang
cs.CV

MagicVideo: Efficient Video Generation With Latent Diffusion Models

November 20, 2022 Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
cs.CV

IC3D: Image-Conditioned 3D Diffusion for Shape Generation

November 20, 2022 Cristian Sbrolli, Paolo Cudrano, Matteo Frosi, Matteo Matteucci
cs.CV

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

November 20, 2022 Xiangming Meng, Yoshiyuki Kabashima
cs.LG, cs.CV, cs.IT, math.IT, stat.ML

NVDiff: Graph Generation through the Diffusion of Node Vectors

November 19, 2022 Xiaohui Chen, Yukun Li, Aonan Zhang, Li-ping Liu
cs.LG

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

November 19, 2022 Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye
cs.CV, cs.LG, stat.ML

Magic3D: High-Resolution Text-to-3D Content Creation

November 18, 2022 Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
cs.CV, cs.GR, cs.LG

A Structure-Guided Diffusion Model for Large-Hole Diverse Image Completion

November 18, 2022 Daichi Horita, Jiaolong Yang, Dong Chen, Yuki Koyama, Kiyoharu Aizawa
cs.CV

Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction

November 18, 2022 Wenjun Xia, Wenxiang Cong, Ge Wang
eess.IV, cs.LG, eess.SP, physics.med-ph

Invariant Learning via Diffusion Dreamed Distribution Shifts

November 18, 2022 Priyatham Kattakinda, Alexander Levine, Soheil Feizi
cs.CV, cs.LG

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation

November 17, 2022 Titas Anciukevičius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero
cs.CV, cs.LG

Conffusion: Confidence Intervals for Diffusion Models

November 17, 2022 Eliahu Horwitz, Yedid Hoshen
cs.CV

Null-text Inversion for Editing Real Images using Guided Diffusion Models

November 17, 2022 Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, Daniel Cohen-Or
cs.CV

DiffusionDet: Diffusion Model for Object Detection

November 17, 2022 Shoufa Chen, Peize Sun, Yibing Song, Ping Luo
cs.CV

Listen, denoise, action! Audio-driven motion synthesis with diffusion models

November 17, 2022 Simon Alexanderson, Rajmund Nagy, Jonas Beskow, Gustav Eje Henter
cs.LG, cs.CV, cs.GR, cs.HC, cs.SD, eess.AS, 68T07, G.3; I.2.6; I.3.7; J.5

EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance

November 17, 2022 Yiwei Guo, Chenpeng Du, Xie Chen, Kai Yu
eess.AS, cs.AI, cs.HC, cs.LG, cs.SD

Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models

November 17, 2022 Minki Kang, Dongchan Min, Sung Ju Hwang
eess.AS, cs.AI, cs.SD

Fast Graph Generative Model via Spectral Diffusion

November 16, 2022 Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
cs.LG, cs.AI

Versatile Diffusion: Text, Images and Variations All in One Diffusion Model

November 15, 2022 Xingqian Xu, Zhangyang Wang, Eric Zhang, Kai Wang, Humphrey Shi
cs.CV

ShadowDiffusion: Diffusion-based Shadow Removal using Classifier-driven Attention and Structure Preservation

November 15, 2022 Yeying Jin, Wenhan Yang, Wei Ye, Yuan Yuan, Robby T. Tan
cs.CV

CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming

November 15, 2022 Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu
eess.IV, cs.CV, cs.LG, cs.MM

Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models

November 15, 2022 Adham Elarabawy, Harish Kamath, Samuel Denton
cs.CV

Diffusion Models for Medical Image Analysis: A Comprehensive Survey

November 14, 2022 Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof
eess.IV, cs.CV

Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

November 14, 2022 Zhihong Pan, Xin Zhou, Hao Tian
eess.IV, cs.CV

Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation

November 14, 2022 Zhihong Pan, Xin Zhou, Hao Tian
cs.CV, eess.IV

Denoising Diffusion Models for Out-of-Distribution Detection

November 14, 2022 Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
cs.LG, cs.CV

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

November 14, 2022 Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or
cs.CV, cs.GR

Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces

November 14, 2022 Dominic Rampas, Pablo Pernias, Elea Zhong, Marc Aubreville
cs.CV, cs.LG

TIER-A: Denoising Learning Framework for Information Extraction

November 13, 2022 Yongkang Li, Ming Zhang
cs.CL, cs.AI, cs.IR, cs.LG

DriftRec: Adapting diffusion models to blind image restoration tasks

November 12, 2022 Simon Welker, Henry N. Chapman, Timo Gerkmann
eess.IV, cs.CV, cs.LG

HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation

November 11, 2022 Kaiduo Zhang, Muyi Sun, Jianxin Sun, Binghao Zhao, Kunbo Zhang, Zhenan Sun, Tieniu Tan
cs.CV

StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects

November 08, 2022 Weiyu Liu, Tucker Hermans, Sonia Chernova, Chris Paxton
cs.RO, cs.AI, cs.CL, cs.CV, cs.LG

DiffPhase: Generative Diffusion-based STFT Phase Retrieval

November 08, 2022 Tal Peer, Simon Welker, Timo Gerkmann
eess.AS, cs.LG, cs.SD, eess.SP

Self-conditioned Embedding Diffusion for Text Generation

November 08, 2022 Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond
cs.CL, cs.LG

Unsupervised vocal dereverberation with diffusion-based generative models

November 08, 2022 Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji
eess.AS, cs.LG, cs.SD

From Denoising Diffusions to Denoising Markov Models

November 07, 2022 Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
stat.ML, cs.LG

Medical Diffusion – Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

November 07, 2022 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
eess.IV, cs.CV, cs.LG

Modeling Temporal Data as Continuous Functions with Process Diffusion

November 04, 2022 Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann
cs.LG

Cold Diffusion for Speech Enhancement

November 04, 2022 Hao Yen, François G. Germain, Gordon Wichern, Jonathan Le Roux
eess.AS, cs.SD

Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models

November 04, 2022 Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
cs.LG, cs.AI, cs.CR, cs.CV

Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration

November 04, 2022 Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
eess.AS, cs.LG, cs.SD

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

November 03, 2022 Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
cs.CV, cs.GR, cs.LG

Evaluating a Synthetic Image Dataset Generated with Stable Diffusion

November 03, 2022 Andreas Stöckl
cs.CV, cs.LG

Convergence in KL Divergence of the Inexact Langevin Algorithm with Application to Score-based Generative Models

November 02, 2022 Andre Wibisono, Kaylee Yingxi Yang
cs.LG, math.ST, stat.TH

An optimal control perspective on diffusion-based generative modeling

November 02, 2022 Julius Berner, Lorenz Richter, Karen Ullrich
cs.LG, math.OC, stat.ML

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

November 02, 2022 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
cs.CV, cs.LG

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems

November 02, 2022 Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier
eess.IV, cs.CV, cs.LG

Entropic Neural Optimal Transport via Diffusion Processes

November 02, 2022 Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry Vetrov, Evgeny Burnaev
cs.LG

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

November 02, 2022 Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
cs.LG, cs.CV

Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models

November 02, 2022 Hazrat Ali, Shafaq Murad, Zubair Shah
eess.IV, cs.AI, cs.CV, cs.LG

Concrete Score Matching: Generalized Score Matching for Discrete Data

November 02, 2022 Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon
cs.LG, cs.AI

On the detection of synthetic images generated by diffusion models

November 01, 2022 Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva
cs.CV

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

November 01, 2022 Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu
cs.CV

DOLPH: Diffusion Models for Phase Retrieval

November 01, 2022 Shirin Shoushtari, Jiaming Liu, Ulugbek S. Kamilov
eess.IV, cs.CV

SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation

November 01, 2022 Chen Zhang, Yi Ren, Kejun Zhang, Shuicheng Yan
cs.SD, cs.MM, eess.AS

Accelerated Motion Correction for MRI using Score-Based Generative Models

November 01, 2022 Brett Levac, Ajil Jalal, Jonathan I. Tamir
eess.IV, eess.SP

SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control

October 31, 2022 Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov
cs.CL, cs.LG

Guided Conditional Diffusion for Controllable Traffic Simulation

October 31, 2022 Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
cs.RO, cs.AI, cs.LG, stat.ML

Diffusion models for missing value imputation in tabular data

October 31, 2022 Shuhan Zheng, Nontawat Charoenphakdee
cs.LG, cs.AI

DiffusER: Discrete Diffusion via Edit-based Reconstruction

October 30, 2022 Machel Reid, Vincent J. Hellendoorn, Graham Neubig
cs.CL, cs.LG

Conditioning and Sampling in Variational Diffusion Models for Speech Super-resolution

October 27, 2022 Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang
eess.AS, cs.SD, eess.SP

LAD: Language Augmented Diffusion for Reinforcement Learning

October 27, 2022 Edwin Zhang, Yujie Lu, William Wang, Amy Zhang
cs.LG, cs.AI, cs.CL

Solving Audio Inverse Problems with a Diffusion Model

October 27, 2022 Eloi Moliner, Jaakko Lehtinen, Vesa Välimäki
eess.AS, cs.SD

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation

October 27, 2022 Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma
eess.IV, cs.CV, cs.LG
October 26, 2022 Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
cs.CV, cs.AI, cs.HC, cs.LG

Categorical SDEs with Simplex Diffusion

October 26, 2022 Pierre H. Richemond, Sander Dieleman, Arnaud Doucet
cs.LG

Full-band General Audio Synthesis with Score-based Diffusion

October 26, 2022 Santiago Pascual, Gautam Bhattacharya, Chunghsin Yeh, Jordi Pons, Joan Serrà
cs.SD, cs.LG, eess.AS

Towards the Detection of Diffusion Model Deepfakes

October 26, 2022 Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer
cs.CV

On the failure of variational score matching for VAE models

October 24, 2022 Li Kevin Wenliang
stat.ML, cs.LG

Structure-based Drug Design with Equivariant Diffusion Models

October 24, 2022 Arne Schneuing, Yuanqi Du, Charles Harris, Arian Jamasb, Ilia Igashov, Weitao Du, Tom Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael Bronstein, Bruno Correia
q-bio.BM, cs.LG

MARS: Meta-Learning as Score Matching in the Function Space

October 24, 2022 Krunoslav Lehman Pavasovic, Jonas Rothfuss, Andreas Krause
cs.LG, stat.ML

High-Resolution Image Editing via Multi-Stage Blended Diffusion

October 24, 2022 Johannes Ackermann, Minjun Li
cs.CV, cs.LG

Deep Equilibrium Approaches to Diffusion Models

October 23, 2022 Ashwini Pokle, Zhengyang Geng, Zico Kolter
cs.LG, cs.CV

Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model

October 22, 2022 Zhiyuan Ren, Zhihong Pan, Xin Zhou, Le Kang
cs.CV

Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

October 21, 2022 Vikram Voleti, Christopher Pal, Adam Oberman
cs.LG, cs.CV

Conditional Diffusion with Less Explicit Guidance via Model Predictive Control

October 21, 2022 Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas
cs.LG

Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report

October 21, 2022 Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani, Mana Moassefi, Sanaz Vahdati, Bradley J. Erickson
eess.IV, cs.CV, cs.LG

Boomerang: Local sampling on image manifolds using diffusion models

October 21, 2022 Lorenzo Luzi, Ali Siahkoohi, Paul M Mayer, Josue Casco-Rodriguez, Richard Baraniuk
cs.CV, cs.LG, stat.ML

Diffusion Visual Counterfactual Explanations

October 21, 2022 Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein
cs.CV, cs.LG

Graphically Structured Diffusion Models

October 20, 2022 Christian Weilbach, William Harvey, Frank Wood
cs.LG, cs.NE, cs.PL, G.3

Representation Learning with Diffusion Models

October 20, 2022 Jeremias Traub
cs.CV

Differentially Private Diffusion Models

October 18, 2022 Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis
stat.ML, cs.CR, cs.LG

Improving Adversarial Robustness by Contrastive Guided Diffusion Process

October 18, 2022 Yidong Ouyang, Liyan Xie, Guang Cheng
cs.LG, cs.CV

Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation

October 18, 2022 Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai
cs.CV, cs.LG, 94A08, I.4.0

UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image

October 17, 2022 Dani Valevski, Matan Kalman, Yossi Matias, Yaniv Leviathan
cs.CV, cs.GR, cs.LG

Imagic: Text-Based Real Image Editing with Diffusion Models

October 17, 2022 Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani
cs.CV

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

October 17, 2022 Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong
cs.CL, cs.LG

DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models

October 16, 2022 Yueqin Yin, Lianghua Huang, Yu Liu, Kaiqi Huang
cs.CV

TransFusion: Transcribing Speech with Multinomial Diffusion

October 14, 2022 Matthew Baas, Kevin Eloff, Herman Kamper
eess.AS, cs.AI, cs.SD

Hierarchical Diffusion Models for Singing Voice Neural Vocoder

October 14, 2022 Naoya Takahashi, Mayank Kumar, Singh, Yuki Mitsufuji
cs.SD, cs.LG, eess.AS

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models

October 13, 2022 Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang
cs.CR, cs.CV, cs.LG

Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples

October 13, 2022 Kirill Neklyudov, Daniel Severo, Alireza Makhzani
cs.LG

Self-Guided Diffusion Models

October 12, 2022 Vincent Tao Hu, David W Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
cs.CV, cs.AI, cs.LG

Diffusion Models for Causal Discovery via Topological Ordering

October 12, 2022 Pedro Sanchez, Xiao Liu, Alison Q O'Neil, Sotirios A. Tsaftaris
cs.LG, cs.AI

LION: Latent Point Diffusion Models for 3D Shape Generation

October 12, 2022 Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
cs.CV, cs.LG, stat.ML

Unifying Diffusion Models’ Latent Space, with Applications to CycleDiffusion and Guidance

October 11, 2022 Chen Henry Wu, Fernando De la Torre
cs.CV, cs.GR, cs.LG

GENIE: Higher-Order Denoising Diffusion Solvers

October 11, 2022 Tim Dockhorn, Arash Vahdat, Karsten Kreis
stat.ML, cs.LG

Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design

October 11, 2022 Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael Bronstein, Bruno Correia
cs.LG, q-bio.BM

DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability

October 11, 2022 Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji
cs.SD, cs.AI, cs.LG, eess.AS

Markup-to-Image Diffusion Models with Scheduled Sampling

October 11, 2022 Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
cs.LG, cs.CL, cs.CV

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation

October 10, 2022 Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh Susskind
cs.CV, cs.LG

What the DAAM: Interpreting Stable Diffusion Using Cross Attention

October 10, 2022 Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, Ferhan Ture
cs.CV, cs.CL

Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models

October 10, 2022 Louis Sharrock, Jack Simons, Song Liu, Mark Beaumont
stat.ML, cs.LG

CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning

October 10, 2022 Shitong Xu
cs.CV, cs.LG

Regularizing Score-based Models with Score Fokker-Planck Equations

October 09, 2022 Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
cs.LG, cs.AI

STaSy: Score-based Tabular data Synthesis

October 08, 2022 Jayoung Kim, Chaejeong Lee, Noseong Park
cs.LG, cs.AI, cs.DB

Efficient Diffusion Models for Vision: A Survey

October 07, 2022 Anwaar Ulhaq, Naveed Akhtar, Ganna Pogrebna
cs.CV, cs.AI

On Distillation of Guided Diffusion Models

October 06, 2022 Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
cs.CV, cs.AI, cs.LG

Novel View Synthesis with Diffusion Models

October 06, 2022 Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
cs.CV, cs.GR, cs.LG

Flow Matching for Generative Modeling

October 06, 2022 Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matt Le
cs.LG, cs.AI, stat.ML

DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics

October 05, 2022 Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
cs.RO, cs.CV, cs.LG

clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP

October 05, 2022 Justin N. M. Pinkney, Chuan Li
cs.CV

Imagen Video: High Definition Video Generation with Diffusion Models

October 05, 2022 Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
cs.CV, cs.LG

Progressive Denoising Model for Fine-Grained Text-to-Image Generation

October 05, 2022 Zhengcong Fei, Mingyuan Fan, Li Zhu, Junshi Huang, Xiaoming Wei, Xiaolin Wei
cs.CV

LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models

October 05, 2022 Paramanand Chandramouli, Kanchana Vaishnavi Gandikota
cs.CV

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

October 04, 2022 Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi Jaakkola
q-bio.BM, cs.LG, physics.bio-ph

Red-Teaming the Stable Diffusion Safety Filter

October 03, 2022 Javier Rando, Daniel Paleka, David Lindner, Lennart Heim, Florian Tramèr
cs.AI, cs.CR, cs.CV, cs.CY, cs.LG

Improving Sample Quality of Diffusion Models Using Self-Attention Guidance

October 03, 2022 Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim
cs.CV, cs.AI, cs.LG

Statistical Efficiency of Score Matching: The View from Isoperimetry

October 03, 2022 Frederic Koehler, Alexander Heckett, Andrej Risteski
cs.LG, math.ST, stat.ML, stat.TH

Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2

October 02, 2022 Ali Borji
cs.CV

OCD: Learning to Overfit with Conditional Diffusion Models

October 02, 2022 Shahar Lutati, Lior Wolf
cs.LG

Protein structure generation via folding diffusion

September 30, 2022 Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini
q-bio.BM, cs.AI, I.2.0; J.3

TabDDPM: Modelling Tabular Data with Diffusion Models

September 30, 2022 Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko
cs.LG

Diffusion-based Image Translation using Disentangled Style and Content Representation

September 30, 2022 Gihyun Kwon, Jong Chul Ye
cs.CV, cs.AI, cs.LG, stat.ML

DreamFusion: Text-to-3D using 2D Diffusion

September 29, 2022 Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
cs.CV, cs.LG, stat.ML

Human Motion Diffusion Model

September 29, 2022 Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, Amit H. Bermano
cs.CV, cs.GR

Denoising Diffusion Probabilistic Models for Styled Walking Synthesis

September 29, 2022 Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang, Hubert P. H. Shum
cs.CV, cs.AI, cs.GR, cs.LG

Analyzing Diffusion as Serial Reproduction

September 29, 2022 Raja Marjieh, Ilia Sucholutsky, Thomas A. Langlois, Nori Jacoby, Thomas L. Griffiths
cs.LG, stat.ML

Make-A-Video: Text-to-Video Generation without Text-Video Data

September 29, 2022 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
cs.CV, cs.AI, cs.LG

DiGress: Discrete Denoising diffusion for graph generation

September 29, 2022 Clement Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard
cs.LG

Creative Painting with Latent Diffusion Models

September 29, 2022 Xianchao Wu
cs.CV, cs.AI, cs.CL, cs.GR, cs.LG

Diffusion Posterior Sampling for General Noisy Inverse Problems

September 29, 2022 Hyungjin Chung, Jeongsol Kim, Michael T. Mccann, Marc L. Klasky, Jong Chul Ye
stat.ML, cs.AI, cs.CV, cs.LG

Denoising MCMC for Accelerating Diffusion-Based Generative Models

September 29, 2022 Beomsu Kim, Jong Chul Ye
cs.LG, cs.CV

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation

September 29, 2022 Boah Kim, Yujin Oh, Jong Chul Ye
eess.IV, cs.CV, cs.LG

Re-Imagen: Retrieval-Augmented Text-to-Image Generator

September 29, 2022 Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen
cs.CV, cs.AI, cs.LG

Score Modeling for Simulation-based Inference

September 28, 2022 Tomas Geffner, George Papamakarios, Andriy Mnih
cs.LG, stat.ML

Spectral Diffusion Processes

September 28, 2022 Angus Phillips, Thomas Seror, Michael Hutchinson, Valentin De Bortoli, Arnaud Doucet, Emile Mathieu
stat.ML, cs.LG

Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion

September 27, 2022 Nisha Huang, Fan Tang, Weiming Dong, Changsheng Xu
cs.CV

Learning to Learn with Generative Models of Neural Network Checkpoints

September 26, 2022 William Peebles, Ilija Radosavovic, Tim Brooks, Alexei A. Efros, Jitendra Malik
cs.LG, cs.CV

Quasi-Conservative Score-based Generative Models

September 26, 2022 Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee
cs.LG, cs.CV

Convergence of score-based generative modeling for general data distributions

September 26, 2022 Holden Lee, Jianfeng Lu, Yixin Tan
cs.LG, math.PR, math.ST, stat.ML, stat.TH

Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models

September 24, 2022 Qing Lyu, Ge Wang
eess.IV, cs.CV, physics.med-ph

Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

September 22, 2022 Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru R. Zhang
cs.LG, math.ST, stat.TH

Poisson Flow Generative Models

September 22, 2022 Yilun Xu, Ziming Liu, Max Tegmark, Tommi Jaakkola
cs.LG, cs.CV

MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation

September 22, 2022 Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim
cs.CV

Implementing and Experimenting with Diffusion Models for Text-to-Image Generation

September 22, 2022 Robin Zbinden
cs.CV, cs.LG

Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GAN

September 21, 2022 Yin-Ping Cho, Yu Tsao, Hsin-Min Wang, Yi-Wen Liu
eess.AS, cs.SD, eess.SP

Deep Generalized Schrödinger Bridge

September 20, 2022 Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos A. Theodorou
stat.ML, cs.GT, cs.LG, math.OC

Metal Inpainting in CBCT Projections Using Score-based Generative Model

September 20, 2022 Siyuan Mei, Fuxin Fan, Andreas Maier
eess.IV, cs.CV

T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models

September 19, 2022 Nithin Gopalakrishnan Nair, Vishal M. Patel
cs.CV

Denoising Diffusion Error Correction Codes

September 16, 2022 Yoni Choukroun, Lior Wolf
cs.IT, cs.AI, cs.LG, math.IT

Brain Imaging Generation with Latent Diffusion Models

September 15, 2022 Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F da Costa, Virginia Fernandez, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
eess.IV, cs.CV, q-bio.QM

Lossy Image Compression with Conditional Diffusion Models

September 14, 2022 Ruihan Yang, Stephan Mandt
eess.IV, cs.CV, cs.LG, stat.ML

PET image denoising based on denoising diffusion probabilistic models

September 13, 2022 Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan
eess.IV, cs.CV, physics.med-ph

Blurring Diffusion Models

September 12, 2022 Emiel Hoogeboom, Tim Salimans
cs.LG, cs.CV, stat.ML

Soft Diffusion: Score Matching for General Corruptions

September 12, 2022 Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar
cs.CV, cs.AI, cs.LG

Diffusion Models in Vision: A Survey

September 10, 2022 Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah
cs.CV, cs.AI, cs.LG

SE(3)-DiffusionFields: Learning cost functions for joint grasp and motion optimization through diffusion

September 08, 2022 Julen Urain, Niklas Funk, Jan Peters, Georgia Chalvatzaki
cs.RO, cs.LG

Unifying Generative Models with GFlowNets

September 06, 2022 Dinghuai Zhang, Ricky T. Q. Chen, Nikolay Malkin, Yoshua Bengio
cs.LG, cs.AI, stat.ML

Instrument Separation of Symbolic Music by Explicitly Guided Diffusion Model

September 05, 2022 Sangjun Han, Hyeongrae Ihm, DaeHan Ahn, Woohyung Lim
cs.SD, cs.MM, eess.AS

First Hitting Diffusion Models

September 02, 2022 Mao Ye, Lemeng Wu, Qiang Liu
cs.CV, cs.LG

Diffusion-based Molecule Generation with Informative Prior Bridges

September 02, 2022 Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu
cs.LG

Diffusion Models: A Comprehensive Survey of Methods and Applications

September 02, 2022 Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang
cs.LG, cs.AI, cs.CV

MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

August 31, 2022 Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, Ziwei Liu
cs.CV

Let us Build Bridges: Understanding and Extending Diffusion Generative Models

August 31, 2022 Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
cs.LG, cs.CV

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

August 30, 2022 Dominik J. E. Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
cs.CV, cs.AI, cs.LG, stat.ML, 68-06

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

August 29, 2022 Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang
cs.CV, cs.AI, cs.LG

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

August 25, 2022 Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman
cs.CV, cs.GR, cs.LG

Understanding Diffusion Models: A Unified Perspective

August 25, 2022 Calvin Luo
cs.LG, cs.CV

AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models

August 24, 2022 Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M. Patel
cs.CV

PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition

August 21, 2022 Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao
cs.CV, cs.CR, cs.LG

TopoDiff: A Performance and Constraint-Guided Diffusion Model for Topology Optimization

August 20, 2022 François Mazé, Faez Ahmed
cs.LG, cs.CE

Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

August 19, 2022 Juan Miguel Lopez Alcaraz, Nils Strodthoff
cs.LG, stat.ML

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

August 19, 2022 Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
cs.CV, cs.LG

Vector Quantized Diffusion Model with CodeUnet for Text-to-Sign Pose Sequences Generation

August 19, 2022 Pan Xie, Qipeng Zhang, Zexian Li, Hao Tang, Yao Du, Xiaohui Hu
cs.CV

Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance

August 18, 2022 Bahjat Kawar, Roy Ganz, Michael Elad
cs.CV, cs.LG

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

August 16, 2022 Xiulong Yang, Sheng-Min Shih, Yinlin Fu, Xiaoting Zhao, Shihao Ji
cs.CV

Langevin Diffusion Variational Inference

August 16, 2022 Tomas Geffner, Justin Domke
cs.LG

Score-Based Diffusion meets Annealed Importance Sampling

August 16, 2022 Arnaud Doucet, Will Grathwohl, Alexander G. D. G. Matthews, Heiko Strathmann
stat.ML, cs.LG

Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling

August 15, 2022 Ki-Ung Song
cs.LG, stat.ML

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

August 12, 2022 Zhendong Wang, Jonathan J Hunt, Mingyuan Zhou
cs.LG, stat.ML

Convergence of denoising diffusion models under the manifold hypothesis

August 10, 2022 Valentin De Bortoli
stat.ML, cs.LG, math.PR

Wavelet Score-Based Generative Modeling

August 09, 2022 Florentin Guth, Simon Coste, Valentin De Bortoli, Stephane Mallat
cs.LG, cs.CV, stat.ML

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

August 08, 2022 Ting Chen, Ruixiang Zhang, Geoffrey Hinton
cs.CV, cs.AI, cs.CL, cs.LG

Pyramidal Denoising Diffusion Probabilistic Models

August 03, 2022 Dohoon Ryu, Jong Chul Ye
cs.CV, cs.LG, stat.ML

Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models

July 26, 2022 Robin Rombach, Andreas Blattmann, Björn Ommer
cs.CV

Classifier-Free Diffusion Guidance

July 26, 2022 Jonathan Ho, Tim Salimans
cs.LG, cs.AI

Non-Uniform Diffusion Models

July 20, 2022 Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
cs.LG

Unsupervised Medical Image Translation with Adversarial Diffusion Models

July 17, 2022 Muzaffer Özbey, Onat Dalmaz, Salman UH Dar, Hasan A Bedel, Şaban Özturk, Alper Güngör, Tolga Çukur
eess.IV, cs.CV

Threat Model-Agnostic Adversarial Defense using Diffusion Models

July 17, 2022 Tsachi Blau, Roy Ganz, Bahjat Kawar, Alex Bronstein, Michael Elad
cs.CV, cs.AI

DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras

July 16, 2022 Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu
cs.CV

Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis

July 16, 2022 Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye
cs.CV, cs.LG

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

July 14, 2022 Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
cs.CV

Adaptive Diffusion Priors for Accelerated MRI Reconstruction

July 12, 2022 Alper Güngör, Salman UH Dar, Şaban Öztürk, Yilmaz Korkmaz, Gokberk Elmas, Muzaffer Özbey, Tolga Çukur
eess.IV, cs.CV

Improving Diffusion Model Efficiency Through Patching

July 09, 2022 Troy Luhman, Eric Luhman
cs.LG, cs.CV

Back to the Source: Diffusion-Driven Test-Time Adaptation

July 07, 2022 Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
cs.LG, cs.CV

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion

July 07, 2022 Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen
eess.IV, cs.CV

Riemannian Diffusion Schrödinger Bridge

July 07, 2022 James Thornton, Michael Hutchinson, Emile Mathieu, Valentin De Bortoli, Yee Whye Teh, Arnaud Doucet
stat.ML, cs.LG

Semantic Image Synthesis via Diffusion Models

June 30, 2022 Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li
cs.CV

SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations

June 29, 2022 Jinsung Jeon, Noseong Park
cs.LG, cs.AI

Diffusion Deformable Model for 4D Temporal Medical Image Generation

June 27, 2022 Boah Kim, Jong Chul Ye
eess.IV, cs.CV, cs.LG

DDPM-CD: Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

June 23, 2022 Wele Gedara Chaminda Bandara, Nithin Gopalakrishnan Nair, Vishal M. Patel
cs.CV, cs.LG

Guided Diffusion Model for Adversarial Purification from Random Noise

June 22, 2022 Quanlin Wu, Hang Ye, Yuntian Gu
cs.LG, cs.CR

(Certified!!) Adversarial Robustness for Free!

June 21, 2022 Nicholas Carlini, Florian Tramer, Krishnamurthy, Dvijotham, J. Zico Kolter
cs.LG, cs.CR

Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction

June 21, 2022 Michael Tanzer, Pedro Ferreira, Andrew Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin
eess.IV, cs.CV, cs.LG

Generative Modelling With Inverse Heat Dissipation

June 21, 2022 Severi Rissanen, Markus Heinonen, Arno Solin
cs.CV, cs.LG, stat.ML

Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems

June 18, 2022 Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis
cs.LG, cs.AI

Diffusion models as plug-and-play priors

June 17, 2022 Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
cs.LG, cs.CV

Score-based Generative Models for Calorimeter Shower Simulation

June 17, 2022 Vinicius Mikuni, Benjamin Nachman
hep-ph, cs.LG, hep-ex, physics.data-an, physics.ins-det

Lossy Compression with Gaussian Diffusion

June 17, 2022 Lucas Theis, Tim Salimans, Matthew D. Hoffman, Fabian Mentzer
stat.ML, cs.IT, cs.LG, math.IT

A Flexible Diffusion Model

June 17, 2022 Weitao Du, Tao Yang, He Zhang, Yuanqi Du
cs.LG, cs.AI, cs.CV

SOS: Score-based Oversampling for Tabular Data

June 17, 2022 Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho
cs.LG, cs.AI

Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching

June 16, 2022 Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
stat.ML, cs.LG

Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation

June 15, 2022 Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
cs.CV

Diffusion Models for Video Prediction and Infilling

June 15, 2022 Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
cs.CV, cs.LG, stat.ML

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models

June 15, 2022 Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
cs.LG

CARD: Classification and Regression Diffusion Models

June 15, 2022 Xizewen Han, Huangjie Zheng, Mingyuan Zhou
stat.ML, cs.LG, stat.CO, stat.ME

Realistic Gramophone Noise Synthesis using a Diffusion Model

June 13, 2022 Eloi Moliner, Vesa Välimäki
eess.AS

Convergence for score-based generative modeling with polynomial complexity

June 13, 2022 Holden Lee, Jianfeng Lu, Yixin Tan
cs.LG, math.PR, math.ST, stat.ML, stat.TH

Latent Diffusion Energy-Based Model for Interpretable Text Modeling

June 13, 2022 Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
cs.LG, cs.CL

gDDIM: Generalized denoising diffusion implicit models

June 11, 2022 Qinsheng Zhang, Molei Tao, Yongxin Chen
cs.LG

Multi-instrument Music Synthesis with Spectrogram Diffusion

June 11, 2022 Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse Engel
cs.SD, cs.LG, eess.AS

How Much is Enough? A Study on Diffusion Times in Score-based Generative Models

June 10, 2022 Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
stat.ML, cs.LG

Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models

June 10, 2022 Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M Patel
cs.CV

Probability flow solution of the Fokker-Planck equation

June 09, 2022 Nicholas M. Boffi, Eric Vanden-Eijnden
cs.LG, cond-mat.dis-nn, cond-mat.stat-mech, cs.NA, math.NA, math.PR

Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

June 08, 2022 Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, Tommi Jaakkola
q-bio.BM, cs.LG, stat.ML

Accelerating Score-based Generative Models for High-Resolution Image Synthesis

June 08, 2022 Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng
cs.CV, cs.LG

Neural Diffusion Processes

June 08, 2022 Vincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus Simpson
stat.ML, cs.LG

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

June 07, 2022 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 Cardoso
cs.CV, eess.IV, q-bio.QM

Universal Speech Enhancement with Score-based Diffusion

June 07, 2022 Joan Serrà, Santiago Pascual, Jordi Pons, R. Oguz Araz, Davide Scaini
cs.SD, cs.LG, eess.AS

Blended Latent Diffusion

June 06, 2022 Omri Avrahami, Ohad Fried, Dani Lischinski
cs.CV, cs.GR, cs.LG

Diffusion-GAN: Training GANs with Diffusion

June 05, 2022 Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
cs.LG, stat.ML

Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models

June 05, 2022 Alon Levkovitch, Eliya Nachmani, Lior Wolf
cs.SD, cs.AI, cs.LG, eess.AS, eess.SP

Compositional Visual Generation with Composable Diffusion Models

June 03, 2022 Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum
cs.CV, cs.AI, cs.LG

Score-Based Generative Models Detect Manifolds

June 02, 2022 Jakiw Pidstrigach
stat.ML, cs.LG, cs.NA, math.NA, math.PR, 68T99, I.2.0

Improving Diffusion Models for Inverse Problems using Manifold Constraints

June 02, 2022 Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
cs.LG, cs.AI, cs.CV, stat.ML

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

June 02, 2022 Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
cs.LG, stat.ML

Elucidating the Design Space of Diffusion-Based Generative Models

June 01, 2022 Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
cs.CV, cs.AI, cs.LG, cs.NE, stat.ML

Torsional Diffusion for Molecular Conformer Generation

June 01, 2022 Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola
physics.chem-ph, cs.LG, q-bio.BM

Discovering the Hidden Vocabulary of DALLE-2

June 01, 2022 Giannis Daras, Alexandros G. Dimakis
cs.LG, cs.CL, cs.CR, cs.CV

On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models

May 31, 2022 Kamil Deja, Anna Kuzina, Tomasz Trzciński, Jakub M. Tomczak
cs.LG

Few-Shot Diffusion Models

May 30, 2022 Giorgio Giannone, Didrik Nielsen, Ole Winther
cs.CV, cs.LG, stat.ML

Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data

May 30, 2022 Sungwon Kim, Heeseung Kim, Sungroh Yoon
cs.SD, cs.AI, eess.AS

Guided Diffusion Model for Adversarial Purification

May 30, 2022 Jinyi Wang, Zhaoyang Lyu, Dahua Lin, Bo Dai, Hongfei Fu
cs.CV, cs.AI

Diffusion-LM Improves Controllable Text Generation

May 27, 2022 Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto
cs.CL, cs.AI, cs.LG

Maximum Likelihood Training of Implicit Nonlinear Diffusion Models

May 27, 2022 Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
cs.LG

Accelerating Diffusion Models via Early Stop of the Diffusion Process

May 25, 2022 Zhaoyang Lyu, Xudong XU, Ceyuan Yang, Dahua Lin, Bo Dai
cs.CV

Flexible Diffusion Modeling of Long Videos

May 23, 2022 William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
cs.CV, cs.LG

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

May 23, 2022 Chitwan Saharia, William Chan, 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
cs.CV, cs.LG

Planning with Diffusion for Flexible Behavior Synthesis

May 20, 2022 Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine
cs.LG, cs.AI

Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation

May 19, 2022 Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal
cs.CV, cs.AI, cs.LG

Diffusion Models for Adversarial Purification

May 16, 2022 Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Anima Anandkumar
cs.LG, cs.CR, cs.CV

On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models

May 08, 2022 Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
cs.CV, cs.LG

Subspace Diffusion Generative Models

May 03, 2022 Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola
cs.LG, cs.CV

Fast Sampling of Diffusion Models with Exponential Integrator

April 29, 2022 Qinsheng Zhang, Yongxin Chen
cs.LG

Retrieval-Augmented Diffusion Models

April 25, 2022 Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer
cs.CV

FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis

April 21, 2022 Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao
eess.AS, cs.LG, cs.SD

A Score-based Geometric Model for Molecular Dynamics Simulations

April 19, 2022 Fang Wu, Stan Z. Li
cs.CE, cs.LG

Hierarchical Text-Conditional Image Generation with CLIP Latents

April 13, 2022 Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen
cs.CV

Video Diffusion Models

April 07, 2022 Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
cs.CV, cs.AI, cs.LG

KNN-Diffusion: Image Generation via Large-Scale Retrieval

April 06, 2022 Shelly Sheynin, Oron Ashual, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, Yaniv Taigman
cs.CV, cs.AI, cs.CL, cs.GR, cs.LG

Perception Prioritized Training of Diffusion Models

April 01, 2022 Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
cs.CV, cs.LG

Generating High Fidelity Data from Low-density Regions using Diffusion Models

March 31, 2022 Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton Ferrer
cs.CV, cs.LG

Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain

March 31, 2022 Simon Welker, Julius Richter, Timo Gerkmann
eess.AS, cs.LG, cs.SD

Equivariant Diffusion for Molecule Generation in 3D

March 31, 2022 Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling
cs.LG, q-bio.QM, stat.ML

SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping

March 31, 2022 Yuma Koizumi, Heiga Zen, Kohei Yatabe, Nanxin Chen, Michiel Bacchiani
eess.AS, cs.LG, cs.SD, stat.ML

Diffusion Models for Counterfactual Explanations

March 29, 2022 Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
cs.CV, cs.LG

Denoising Likelihood Score Matching for Conditional Score-based Data Generation

March 27, 2022 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
cs.LG, stat.ML

BBDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis

March 25, 2022 Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
eess.AS, cs.AI, cs.LG, cs.SD, eess.SP

Accelerating Bayesian Optimization for Biological Sequence design with Denoising Autoencoders

March 23, 2022 Samuel Stanton, Wesley Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson
cs.LG, cs.NE, q-bio.QM, stat.ML

MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion

March 23, 2022 Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
eess.IV, cs.AI, cs.CV, cs.LG

Dual Diffusion Implicit Bridges for Image-to-Image Translation

March 16, 2022 Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon
cs.CV, cs.AI, cs.LG

Diffusion Probabilistic Modeling for Video Generation

March 16, 2022 Ruihan Yang, Prakhar Srivastava, Stephan Mandt
cs.CV, cs.LG, stat.ML

Score matching enables causal discovery of nonlinear additive noise models

March 08, 2022 Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russel, Bernhard Schölkopf, Dominik Janzing, Francesco Locatello
cs.LG, stat.ML

Diffusion Models for Medical Anomaly Detection

March 08, 2022 Julia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin
eess.IV, cs.CV

Dynamic Dual-Output Diffusion Models

March 08, 2022 Yaniv Benny, Lior Wolf
cs.CV, eess.IV

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

March 08, 2022 Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa
eess.IV, cs.CV, cs.LG

Score-Based Generative Models for Molecule Generation

March 07, 2022 Dwaraknath Gnaneshwar, Bharath Ramsundar, Dhairya Gandhi, Rachel Kurchin, Venkatasubramanian Viswanathan
cs.LG, q-bio.QM

Conditional Simulation Using Diffusion Schrodinger Bridges

February 27, 2022 Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
stat.ML, cs.LG

Diffusion Causal Models for Counterfactual Estimation

February 21, 2022 Pedro Sanchez, Sotirios A. Tsaftaris
cs.LG, cs.CV

Pseudo Numerical Methods for Diffusion Models on Manifolds

February 20, 2022 Luping Liu, Yi Ren, Zhijie Lin, Zhou Zhao
cs.CV, cs.LG, cs.NA, math.NA, stat.ML

Truncated Diffusion Probabilistic Models

February 19, 2022 Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
stat.ML, cs.LG

Understanding DDPM Latent Codes Through Optimal Transport

February 14, 2022 Valentin Khrulkov, Gleb Ryzhakov, Andrei Chertkov, Ivan Oseledets
stat.ML, cs.AI, cs.LG, cs.NA, math.AP, math.NA

Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality

February 11, 2022 Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi
cs.LG

Conditional Diffusion Probabilistic Model for Speech Enhancement

February 10, 2022 Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao
eess.AS, cs.LG, cs.SD

Diffusion bridges vector quantized Variational AutoEncoders

February 10, 2022 Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines
stat.ML

InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training

February 08, 2022 Zehua Chen, Xu Tan, Ke Wang, Shifeng Pan, Danilo Mandic, Lei He, Sheng Zhao
eess.AS, cs.AI, cs.CL, cs.LG, cs.SD

Riemannian Score-Based Generative Modeling

February 06, 2022 Valentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
cs.LG, math.PR, stat.ML

Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations

February 05, 2022 Jaehyeong Jo, Seul Lee, Sung Ju Hwang
cs.LG

Progressive Distillation for Fast Sampling of Diffusion Models

February 01, 2022 Tim Salimans, Jonathan Ho
cs.LG, cs.AI, stat.ML

From data to functa: Your data point is a function and you should treat it like one

January 28, 2022 Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Rezende, Dan Rosenbaum
cs.LG

DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

January 28, 2022 Songxiang Liu, Dan Su, Dong Yu
eess.AS, cs.CL, cs.SD

Denoising Diffusion Restoration Models

January 27, 2022 Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
eess.IV, cs.CV, cs.LG

Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model

January 27, 2022 Dewei Hu, Yuankai K. Tao, Ipek Oguz
cs.CV

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

January 24, 2022 Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, Luc Van Gool
cs.CV

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

January 17, 2022 Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
cs.LG

Probabilistic Mass Mapping with Neural Score Estimation

January 14, 2022 Benjamin Remy, Francois Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck, Ken Osato, Tim Schrabback
astro-ph.CO, astro-ph.IM, cs.LG

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

January 02, 2022 Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar
cs.LG, cs.CV

Ito-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives

December 26, 2021 Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara, Yotaro Katayama, Yotaro Watanabe
stat.ML, cs.CV, cs.LG, cs.SD, eess.AS

High-Resolution Image Synthesis with Latent Diffusion Models

December 20, 2021 Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
cs.CV

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

December 20, 2021 Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen
cs.CV, cs.GR, cs.LG

Heavy-tailed denoising score matching

December 17, 2021 Jacob Deasy, Nikola Simidjievski, Pietro Liò
cs.LG, stat.ML

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

December 15, 2021 Zhisheng Xiao, Karsten Kreis, Arash Vahdat
cs.LG, stat.ML

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

December 14, 2021 Tim Dockhorn, Arash Vahdat, Karsten Kreis
stat.ML, cs.LG

Step-unrolled Denoising Autoencoders for Text Generation

December 13, 2021 Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aaron van den Oord
cs.CL, cs.LG

More Control for Free! Image Synthesis with Semantic Diffusion Guidance

December 10, 2021 Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell
cs.CV, cs.GR

DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models

December 09, 2021 Boah Kim, Inhwa Han, Jong Chul Ye
eess.IV, cs.CV, cs.LG

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction

December 09, 2021 Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
eess.IV, cs.CV, cs.LG, stat.ML

A Conditional Point DIffusion-Refinement Paradigm for 3D Point Cloud Completion

December 07, 2021 Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin
cs.CV, cs.AI

Deblurring via Stochastic Refinement

December 05, 2021 Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
cs.CV, eess.IV

Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score-Matching

December 05, 2021 Kwanyoung Kim, Taesung Kwon, Jong Chul Ye
eess.IV, cs.CV, cs.LG, stat.ML

SegDiff: Image Segmentation with Diffusion Probabilistic Models

December 01, 2021 Tomer Amit, Tal Shaharbany, Eliya Nachmani, Lior Wolf
cs.CV, cs.AI, cs.LG

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

November 30, 2021 Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
cs.CV, cs.LG

Vector Quantized Diffusion Model for Text-to-Image Synthesis

November 29, 2021 Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo
cs.CV, cs.LG

Blended Diffusion for Text-driven Editing of Natural Images

November 29, 2021 Omri Avrahami, Dani Lischinski, Ohad Fried
cs.CV, cs.GR, cs.LG

Conditional Image Generation with Score-Based Diffusion Models

November 26, 2021 Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
cs.LG, cs.CV, stat.ML

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

November 15, 2021 Yang Song, Liyue Shen, Lei Xing, Stefano Ermon
eess.IV, cs.CV, cs.LG, stat.ML

Simulating Diffusion Bridges with Score Matching

November 14, 2021 Jeremy Heng, Valentin De Bortoli, Arnaud Doucet, James Thornton
stat.CO, cs.LG, stat.ML

Palette: Image-to-Image Diffusion Models

November 10, 2021 Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
cs.CV, cs.LG

Estimating High Order Gradients of the Data Distribution by Denoising

November 08, 2021 Chenlin Meng, Yang Song, Wenzhe Li, Stefano Ermon
cs.LG, stat.ML

Realistic galaxy image simulation via score-based generative models

November 02, 2021 Michael J. Smith, James E. Geach, Ryan A. Jackson, Nikhil Arora, Connor Stone, Stéphane Courteau
astro-ph.IM, astro-ph.GA, cs.LG

Zero-Shot Translation using Diffusion Models

November 02, 2021 Eliya Nachmani, Shaked Dovrat
cs.CL, cs.LG

Likelihood Training of Schrodinger Bridge using Forward-Backward SDEs Theory

October 21, 2021 Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou
stat.ML, cs.LG, math.AP, math.OC

Controllable and Compositional Generation with Latent-Space Energy-Based Models

October 21, 2021 Weili Nie, Arash Vahdat, Anima Anandkumar
cs.CV, cs.AI, cs.LG

Diffusion Normalizing Flow

October 14, 2021 Qinsheng Zhang, Yongxin Chen
cs.LG

Crystal Diffusion Variational Autoencoder for Periodic Material Generation

October 12, 2021 Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi Jaakkola
cs.LG, cond-mat.mtrl-sci, physics.comp-ph

Score-based diffusion models for accelerated MRI

October 08, 2021 Hyungjin Chung, Jong Chul Ye
eess.IV, cs.AI, cs.CV, cs.LG

Score-based Generative Neural Networks for Large-Scale Optimal Transport

October 07, 2021 Max Daniels, Tyler Maunu, Paul Hand
cs.LG

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

October 06, 2021 Gwanghyun Kim, Taesung Kwon, Jong Chul Ye
cs.CV, cs.AI, cs.LG

Autoregressive Diffusion Models

October 05, 2021 Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans
cs.LG, stat.ML

Score-Based Generative Classifiers

October 01, 2021 Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin A. Dunn, David A. Klindt
stat.ML, cs.CV, cs.LG

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

September 28, 2021 Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov, Jiansheng Wei
cs.SD, cs.LG, stat.ML

Bilateral Denoising Diffusion Models

August 26, 2021 Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu
cs.LG, cs.AI, cs.SD, eess.AS, eess.SP

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis

August 19, 2021 Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
cs.CV

IVLR: Conditioning Method for Denoising Diffusion Probabilistic Models

August 06, 2021 Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
cs.CV

Robust Compressed Sensing MRI with Deep Generative Priors

August 03, 2021 Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
cs.LG, cs.CV, cs.IT, math.IT, stat.ML

SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

August 02, 2021 Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
cs.CV, cs.AI

Score-Based Point Cloud Denoising

July 23, 2021 Shitong Luo, Wei Hu
cs.CV

Interpreting diffusion score matching using normalizing flow

July 21, 2021 Wenbo Gong, Yingzhen Li
cs.LG, stat.ML

Beyond In-Place Corruption: Insertion and Deletion in Denoising Probabilistic Models

July 16, 2021 Daniel D. Johnson, Jacob Austin, Rianne van den Berg, Daniel Tarlow
cs.LG

Denoising diffusion probabilistic models for replica exchange

July 15, 2021 Yihang Wang, Lukas Herron, Pratyush Tiwary
cond-mat.stat-mech, physics.bio-ph, physics.comp-ph, physics.data-an

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

July 07, 2021 Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon
cs.LG, stat.ML

Structured Denoising Diffusion Models in Discrete State-Spaces

July 07, 2021 Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg
cs.LG, cs.AI, cs.CL, cs.CV

Variational Diffusion Models

July 01, 2021 Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho

cs.LG, stat.ML
  • Main contribution seems to be alternative parameterization of the marginals of forward SDE in terms of SNR, then decreasing SNR function is optimized in the ELBO

GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation

29/09/2021 Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
cs.LG, stat.ML

Predicting Molecular Conformation via Dynamic Graph Score Matching

01/12/2021 Shitong Luo, Chence Shi, Minkai Xu, Jian Tang
cs.LG, stat.ML

Diffusion Priors in Variational Autoencoders

June 29, 2021 Antoine Wehenkel, Gilles Louppe
cs.LG

Deep Generative Learning via Schrödinger Bridge

June 19, 2021 Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang
cs.LG, cs.CV

ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models

June 18, 2021 Tijin Yan, Hongwei Zhang, Tong Zhou, Yufeng Zhan, Yuanqing Xia
cs.LG, stat.ML

Non Gaussian Denoising Diffusion Models

June 14, 2021 Eliya Nachmani, Robin San Roman, Lior Wolf
cs.LG, cs.CV, cs.SD, eess.AS

CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis

June 14, 2021 Simon Rouard, Gaëtan Hadjeres
cs.SD, cs.LG, eess.AS

D2C: Diffusion-Denoising Models for Few-shot Conditional Generation

June 12, 2021 Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon
cs.LG, cs.AI, cs.CV

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior

June 11, 2021 Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
stat.ML, cs.LG, cs.SD, eess.AS

Adversarial purification with Score-based generative models

June 11, 2021 Jongmin Yoon, Sung Ju Hwang, Juho Lee
cs.LG, cs.CR

Score-based Generative Modeling in Latent Space

June 10, 2021 Arash Vahdat, Karsten Kreis, Jan Kautz
stat.ML, cs.LG

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation

June 10, 2021 Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
cs.LG, cs.AI, stat.ML

Learning to Efficiently Sample from Diffusion Probabilistic Models

June 07, 2021 Daniel Watson, Jonathan Ho, Mohammad Norouzi, William Chan
cs.LG

A Variational Perspective on Diffusion-Based Generative Models and Score Matching

June 05, 2021 Chin-Wei Huang, Jae Hyun Lim, Aaron Courville
cs.LG

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling

June 01, 2021 Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet

stat.ML, cs.LG, math.PR
  • See also the blogpost
  • Approximates solution to Schrodinger bridge problem by approximiating iterative reverse diffusions with score/drift networks
  • Theoretical results on quality of generative distribution
  • Code

On Fast Sampling of Diffusion Probabilistic Models

May 31, 2021 Zhifeng Kong, Wei Ping
cs.LG

SNIPS: Solving Noisy Inverse Problems Stochastically

May 31, 2021 Bahjat Kawar, Gregory Vaksman, Michael Elad
eess.IV, cs.CV

Cascaded Diffusion Models for High Fidelity Image Generation

May 30, 2021 Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans

cs.CV, cs.AI, cs.LG

Representation Learning in Continuous-Time Score-Based Generative Models

May 29, 2021 Korbinian Abstreiter, Sarthak Mittal, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou
cs.LG, cs.CV

Gotta Go Fast When Generating Data with Score-Based Models

May 28, 2021 Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas

cs.LG, cs.CV, math.OC, stat.ML

DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion

May 28, 2021 Songxiang Liu, Yuewen Cao, Dan Su, Helen Meng
eess.AS, cs.CL, cs.SD

Grad-tts: A diffusion probabilistic model for text-to-speech

May 13, 2021 Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov
cs.LG, cs.CL, stat.ML

Diffusion models beat gans on image synthesis

May 11, 2021 Prafulla Dhariwal, Alex Nichol

cs.LG, cs.AI, cs.CV, stat.ML

Learning Gradient Fields for Molecular Conformation Generation

May 09, 2021 Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
cs.LG, physics.chem-ph, q-bio.BM

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

May 06, 2021 Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, Zhou Zhao
eess.AS, cs.LG, cs.SD

Image super-resolution via iterative refinement

April 15, 2021 Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
eess.IV, cs.CV, cs.LG

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models

April 12, 2021 Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
cs.CV, cs.LG, eess.IV

On tuning consistent annealed sampling for denoising score matching

April 08, 2021 Joan Serrà, Santiago Pascual, Jordi Pons
cs.LG, cs.AI, cs.CV, cs.SD, eess.AS

3D Shape Generation and Completion through Point-Voxel Diffusion

April 08, 2021 Linqi Zhou, Yilun Du, Jiajun Wu
cs.CV

Noise Estimation for Generative Diffusion Models

April 06, 2021 Robin San-Roman, Eliya Nachmani, Lior Wolf
cs.LG, cs.CV

NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

April 06, 2021 Junhyeok Lee, Seungu Han
eess.AS, cs.AI, cs.LG

Symbolic music generation with diffusion models

March 30, 2021 Gautam Mittal, Jesse Engel, Curtis Hawthorne, Ian Simon
cs.SD, cs.LG, eess.AS, stat.ML

Diffusion Probabilistic Models for 3D Point Cloud Generation

March 02, 2021 Shitong Luo, Wei Hu
cs.CV

Improved denoising diffusion probabilistic models

February 18, 2021 Alex Nichol, Prafulla Dhariwal

cs.LG, cs.AI, stat.ML
  • Code
  • Architecture improvements, simpler than previous networks, cosine schedule

Argmax flows and multinomial diffusion: Towards non-autoregressive language models

February 10, 2021 Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
stat.ML, cs.CL, cs.LG

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting

January 28, 2021 Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf
cs.LG, cs.AI

Stochastic Image Denoising by Sampling from the Posterior Distribution

January 23, 2021 Bahjat Kawar, Gregory Vaksman, Michael Elad
eess.IV, cs.CV

Maximum likelihood training of score-based diffusion models

January 22, 2021 Yang Song, Conor Durkan, Iain Murray, Stefano Ermon

stat.ML, cs.LG
  • Write the Kullback-Leibler divergence between true reverse process and approximation
  • Derive ELBO approximation for MLE estimation

Knowledge distillation in iterative generative models for improved sampling speed

January 07, 2021 Eric Luhman, Troy Luhman
cs.LG

Learning energy-based models by diffusion recovery likelihood

December 15, 2020 Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma
cs.LG, stat.ML

Score-Based Generative Modeling through Stochastic Differential Equations

November 26, 2020 Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole

cs.LG, stat.ML

Probabilistic Mapping of Dark Matter by Neural Score Matching

November 16, 2020 Benjamin Remy, Francois Lanusse, Zaccharie Ramzi, Jia Liu, Niall Jeffrey, Jean-Luc Starck
astro-ph.CO, astro-ph.IM

Denoising Score-Matching for Uncertainty Quantification in Inverse Problems

November 16, 2020 Zaccharie Ramzi, Benjamin Remy, Francois Lanusse, Jean-Luc Starck, Philippe Ciuciu
stat.ML, cs.CV, cs.LG, eess.SP, physics.med-ph

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics

October 06, 2020 Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Shogo Seki
cs.SD, eess.AS

Denoising diffusion implicit models

October 06, 2020 Jiaming Song, Chenlin Meng, Stefano Ermon

cs.LG, cs.CV

Diffwave: A versatile diffusion model for audio synthesis

September 21, 2020 Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro
eess.AS, cs.CL, cs.LG, cs.SD, stat.ML

Adversarial score matching and improved sampling for image generation

September 11, 2020 Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas

cs.LG, cs.CV, stat.ML

Wavegrad: Estimating gradients for waveform generation

September 02, 2020 Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
eess.AS, cs.LG, cs.SD, stat.ML

Learning gradient fields for shape generation

August 14, 2020 Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan
cs.CV, cs.LG

Efficient Learning of Generative Models via Finite-Difference Score Matching

July 07, 2020 Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu
cs.LG, stat.ML

Denoising diffusion probabilistic models

June 19, 2020 Jonathan Ho, Ajay Jain, Pieter Abbeel

cs.LG, stat.ML

Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability

June 16, 2020 Suraj Srinivas, Francois Fleuret
cs.LG, cs.CV, stat.ML

Improved techniques for training score-based generative models

June 16, 2020 Yang Song, Stefano Ermon

cs.LG, cs.CV, stat.ML
  • Code
  • Training tricks like exponential moving average (EMA), choosing prior variance etc.

Permutation invariant graph generation via score-based generative modeling

March 02, 2020 Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon

cs.LG, stat.ML

Source Separation with Deep Generative Prior

February 19, 2020 Vivek Jayaram, John Thickstun
cs.LG, stat.ML

Generative Modeling by Estimating Gradients of the Data Distribution

July 12, 2019 Yang Song, Stefano Ermon

cs.LG, stat.ML
  • See also the blogpost
  • Sample from multiple noisy versions of the data distribution
  • First results on popular image datasets
  • Code

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

March 12, 2015 Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, Surya Ganguli
cs.LG, cond-mat.dis-nn, q-bio.NC, stat.ML