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Variational Diffusion Models

1 July 2021

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Papers citing "Variational Diffusion Models"

50 / 906 papers shown

Title
Optimizing Hierarchical Image VAEs for Sample Quality Eric Luhman Troy Luhman DRL 149 5 0 18 Oct 2022
Differentially Private Diffusion Models Tim Dockhorn Tianshi Cao Arash Vahdat Karsten Kreis DiffM 402 127 0 18 Oct 2022
Self-Guided Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022 Vincent Tao Hu David W. Zhang Yuki M. Asano Gertjan J. Burghouts Cees G. M. Snoek 310 41 0 12 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape GenerationNeural Information Processing Systems (NeurIPS), 2022 Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 330 615 0 12 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando de la Torre DiffM 338 78 0 11 Oct 2022
GENIE: Higher-Order Denoising Diffusion SolversNeural Information Processing Systems (NeurIPS), 2022 Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 292 140 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 167 217 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 180 32 0 10 Oct 2022
On Distillation of Guided Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022 Chenlin Meng Robin Rombach Ruiqi Gao Diederik P. Kingma Stefano Ermon Jonathan Ho Tim Salimans VLM DiffM 200 684 0 06 Oct 2022
Novel View Synthesis with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2022 Daniel Watson William Chan Ricardo Martín Brualla Jonathan Ho Andrea Tagliasacchi Mohammad Norouzi DiffM 318 318 0 06 Oct 2022
Flow Matching for Generative ModelingInternational Conference on Learning Representations (ICLR), 2022 Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 943 2,723 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 396 1,831 0 05 Oct 2022
Vision+X: A Survey on Multimodal Learning in the Light of DataIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Ye Zhu Yuehua Wu Andrii Zadaianchuk Yan Yan 314 37 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 141 6 0 29 Sep 2022
DreamFusion: Text-to-3D using 2D DiffusionInternational Conference on Learning Representations (ICLR), 2022 Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 738 3,096 0 29 Sep 2022
All are Worth Words: A ViT Backbone for Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022 Fan Bao Shen Nie Kaiwen Xue Yue Cao Chongxuan Li Hang Su Jun Zhu VLM 497 490 0 25 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptionsInternational Conference on Learning Representations (ICLR), 2022 Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 472 347 0 22 Sep 2022
Lossy Image Compression with Conditional Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2022 Ruihan Yang Stephan Mandt DiffM 459 197 0 14 Sep 2022
Unsupervised representation learning with recognition-parametrised probabilistic modelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 William I. Walker Hugo Soulat Changmin Yu M. Sahani BDL 218 6 0 13 Sep 2022
Blurring Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2022 Emiel Hoogeboom Tim Salimans DiffM 337 92 0 12 Sep 2022
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 254 121 0 12 Sep 2022
Diffusion Models in Vision: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 1.0K 1,723 0 10 Sep 2022
Improved Masked Image Generation with Token-CriticEuropean Conference on Computer Vision (ECCV), 2022 José Lezama Huiwen Chang Lu Jiang Irfan Essa DiffM 466 59 0 09 Sep 2022
A Survey on Generative Diffusion ModelIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 681 397 0 06 Sep 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 226 26 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and ApplicationsACM Computing Surveys (ACM CSUR), 2022 Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 1.2K 1,839 0 02 Sep 2022
Understanding Diffusion Models: A Unified Perspective Calvin Luo DiffM 248 456 0 25 Aug 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2022 Qiyang Li Ajay Jain Pieter Abbeel OffRL 168 4 0 03 Aug 2022
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Ozan Özdenizci Robert Legenstein DiffM 263 379 0 29 Jul 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 438 5,195 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 227 47 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 685 199 0 30 Jun 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationEuropean Conference on Computer Vision (ECCV), 2022 Sheng-liang Li Guangcong Zheng Haibo Wang Taiping Yao Yang Chen Shoudong Ding Xi Li DiffM 283 29 0 23 Jun 2022
Generative Modelling With Inverse Heat DissipationInternational Conference on Learning Representations (ICLR), 2022 Severi Rissanen Markus Heinonen Arno Solin DiffM 635 149 0 21 Jun 2022
Fast Lossless Neural Compression with Integer-Only Discrete FlowsInternational Conference on Machine Learning (ICML), 2022 Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 151 8 0 17 Jun 2022
A Flexible Diffusion ModelInternational Conference on Machine Learning (ICML), 2022 Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 172 12 0 17 Jun 2022
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling RatesInterspeech (Interspeech), 2022 Seungu Han Junhyeok Lee DiffM 233 61 0 17 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score MatchingInternational Conference on Machine Learning (ICML), 2022 Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 230 98 0 16 Jun 2022
Discrete Contrastive Diffusion for Cross-Modal Music and Image GenerationInternational Conference on Learning Representations (ICLR), 2022 Ye Zhu Yuehua Wu Kyle Olszewski Jian Ren Sergey Tulyakov Yan Yan DiffM 358 56 0 15 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsInternational Conference on Machine Learning (ICML), 2022 Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu Bo Zhang DiffM 161 84 0 15 Jun 2022
Multi-instrument Music Synthesis with Spectrogram DiffusionInternational Society for Music Information Retrieval Conference (ISMIR), 2022 Curtis Hawthorne Ian Simon Adam Roberts Neil Zeghidour Josh Gardner Ethan Manilow Jesse Engel DiffM 193 56 0 11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models Giulio Franzese Simone Rossi Lixuan Yang A. Finamore Dario Rossi Maurizio Filippone Pietro Michiardi DiffM 183 49 0 10 Jun 2022
Overcoming the Spectral Bias of Neural Value ApproximationInternational Conference on Learning Representations (ICLR), 2022 Ge Yang Anurag Ajay Pulkit Agrawal 295 29 0 09 Jun 2022
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problemInternational Conference on Learning Representations (ICLR), 2022 Brian L. Trippe Jason Yim D. Tischer D. Baker Tamara Broderick Regina Barzilay Tommi Jaakkola DiffM 267 300 0 08 Jun 2022
Score-Based Generative Models Detect ManifoldsNeural Information Processing Systems (NeurIPS), 2022 Jakiw Pidstrigach DiffM 409 109 0 02 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 StepsNeural Information Processing Systems (NeurIPS), 2022 Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 709 1,915 0 02 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative ModelsNeural Information Processing Systems (NeurIPS), 2022 Kamil Deja Anna Kuzina Tomasz Trzciñski Jakub M. Tomczak DiffM 195 35 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 338 55 0 30 May 2022
Diffusion-LM Improves Controllable Text GenerationNeural Information Processing Systems (NeurIPS), 2022 Xiang Lisa Li John Thickstun Ishaan Gulrajani Abigail Z. Jacobs Tatsunori B. Hashimoto AI4CE 463 1,074 0 27 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2022 Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 608 59 0 27 May 2022