Variational Diffusion Models

1 July 2021

Papers citing "Variational Diffusion Models"

50 / 771 papers shown

Title
OverFlow: Putting flows on top of neural transducers for better TTS Shivam Mehta Ambika Kirkland Harm Lameris Jonas Beskow Éva Székely G. Henter AI4TS 39 12 0 13 Nov 2022
Self-conditioned Embedding Diffusion for Text Generation Robin Strudel Corentin Tallec Florent Altché Yilun Du Yaroslav Ganin ... Will Grathwohl Nikolay Savinov Sander Dieleman Laurent Sifre Rémi Leblond DiffM 20 83 0 08 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 40 20 0 07 Nov 2022
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion Marin Bilos Kashif Rasul Anderson Schneider Yuriy Nevmyvaka Stephan Günnemann DiffM 24 32 0 04 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 30 80 0 02 Nov 2022
Verified Reversible Programming for Verified Lossless Compression James Townsend Jan-Willem van de Meent 27 0 0 02 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 DiffM 56 555 0 02 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations Shlok Kumar Mishra Joshua Robinson Huiwen Chang David Jacobs Aaron Sarna Aaron Maschinot Dilip Krishnan DiffM 43 30 0 30 Oct 2022
Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution Chin-Yun Yu Sung-Lin Yeh Gyorgy Fazekas Hao Tang DiffM 34 20 0 27 Oct 2022
Towards the Detection of Diffusion Model Deepfakes Jonas Ricker Simon Damm Thorsten Holz Asja Fischer DiffM 35 100 0 26 Oct 2022
Structure-based Drug Design with Equivariant Diffusion Models Arne Schneuing Yuanqi Du Charles Harris Arian R. Jamasb Ilia Igashov ... Pietro Lió Carla P. Gomes Max Welling Michael M. Bronstein B. Correia DiffM 42 195 0 24 Oct 2022
Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle Zhengyang Geng Zico Kolter DiffM 30 39 0 23 Oct 2022
Autoregressive Generative Modeling with Noise Conditional Maximum Likelihood Estimation Henry Li Y. Kluger 30 2 0 19 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality Eric Luhman Troy Luhman DRL 27 4 0 18 Oct 2022
Differentially Private Diffusion Models Tim Dockhorn Tianshi Cao Arash Vahdat Karsten Kreis DiffM 32 91 0 18 Oct 2022
Self-Guided Diffusion Models Vincent Tao Hu David W. Zhang Yuki M. Asano Gertjan J. Burghouts Cees G. M. Snoek 31 32 0 12 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 70 485 0 12 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando de la Torre DiffM 28 66 0 11 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 49 104 0 11 Oct 2022
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design Ilia Igashov Hannes Stärk Clément Vignac Victor Garcia Satorras P. Frossard Max Welling Michael M. Bronstein B. Correia DiffM 41 84 0 11 Oct 2022
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation Jiatao Gu Shuangfei Zhai Yizhe Zhang Miguel Angel Bautista J. Susskind DiffM 53 26 0 10 Oct 2022
On Distillation of Guided Diffusion Models Chenlin Meng Robin Rombach Ruiqi Gao Diederik P. Kingma Stefano Ermon Jonathan Ho Tim Salimans VLM DiffM 36 491 0 06 Oct 2022
Novel View Synthesis with Diffusion Models Daniel Watson William Chan Ricardo Martín Brualla Jonathan Ho Andrea Tagliasacchi Mohammad Norouzi DiffM 47 268 0 06 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 46 1,046 0 06 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 46 1,476 0 05 Oct 2022
Vision+X: A Survey on Multimodal Learning in the Light of Data Ye Zhu Yuehua Wu N. Sebe Yan Yan 33 16 0 05 Oct 2022
$Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup$ Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 $\times$ Speedup Wenjun Xia Qing Lyu Ge Wang DiffM MedIm 20 4 0 29 Sep 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 58 2,311 0 29 Sep 2022
All are Worth Words: A ViT Backbone for Diffusion Models Fan Bao Shen Nie Kaiwen Xue Yue Cao Chongxuan Li Hang Su Jun Zhu VLM 26 315 0 25 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 135 247 0 22 Sep 2022
Lossy Image Compression with Conditional Diffusion Models Ruihan Yang Stephan Mandt DiffM 11 125 0 14 Sep 2022
Unsupervised representation learning with recognition-parametrised probabilistic models William I. Walker Hugo Soulat Changmin Yu M. Sahani BDL 18 2 0 13 Sep 2022
Blurring Diffusion Models Emiel Hoogeboom Tim Salimans DiffM 34 76 0 12 Sep 2022
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 64 106 0 12 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 197 1,143 0 10 Sep 2022
Improved Masked Image Generation with Token-Critic José Lezama Huiwen Chang Lu Jiang Irfan Essa DiffM 188 43 0 09 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 37 206 0 06 Sep 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 54 25 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 224 1,304 0 02 Sep 2022
Understanding Diffusion Models: A Unified Perspective Calvin Luo DiffM 22 332 0 25 Aug 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 45 4 0 03 Aug 2022
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models Ozan Özdenizci Robert Legenstein DiffM 36 241 0 29 Jul 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 22 3,658 0 26 Jul 2022
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis Sangyun Lee Hyungjin Chung Jaehyeon Kim Jong Chul Ye DiffM 29 45 0 16 Jul 2022
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 228 177 0 30 Jun 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation Sheng-liang Li Guangcong Zheng Haibo Wang Taiping Yao Yang Chen Shoudong Ding Xi Li DiffM 23 22 0 23 Jun 2022
Generative Modelling With Inverse Heat Dissipation Severi Rissanen Markus Heinonen Arno Solin DiffM 19 109 0 21 Jun 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 19 7 0 17 Jun 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 30 11 0 17 Jun 2022
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates Seungu Han Junhyeok Lee DiffM 25 41 0 17 Jun 2022