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Variational Diffusion Models

1 July 2021

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Papers citing "Variational Diffusion Models"

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Title
Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingNeural Information Processing Systems (NeurIPS), 2022 Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 1.0K 7,312 0 23 May 2022
Adversarial random forests for density estimation and generative modelingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 David S. Watson Kristin Blesch Jan Kapar Marvin N. Wright GAN 286 36 0 19 May 2022
Diffusion Models for Adversarial PurificationInternational Conference on Machine Learning (ICML), 2022 Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 430 572 0 16 May 2022
Subspace Diffusion Generative ModelsEuropean Conference on Computer Vision (ECCV), 2022 Bowen Jing Gabriele Corso Renato Berlinghieri Tommi Jaakkola DiffM 257 86 0 03 May 2022
Semi-Parametric Neural Image Synthesis A. Blattmann Robin Rombach Kaan Oktay Jonas Muller Bjorn Ommer DiffM 239 31 0 25 Apr 2022
Self-Similarity Priors: Neural Collages as Differentiable Fractal RepresentationsNeural Information Processing Systems (NeurIPS), 2022 Michael Poli Winnie Xu Stefano Massaroli Chenlin Meng Kuno Kim Stefano Ermon 101 3 0 15 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models Gabriel Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell M. Volkovs GAN DRL 318 34 0 14 Apr 2022
Video Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2022 Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 727 2,130 0 07 Apr 2022
Statistical Model Criticism of Variational Auto-Encoders Claartje Barkhof Wilker Aziz DRL 152 3 0 06 Apr 2022
Split Hierarchical Variational CompressionComputer Vision and Pattern Recognition (CVPR), 2022 Tom Ryder Chen Zhang Ning Kang Shifeng Zhang 131 14 0 05 Apr 2022
Perception Prioritized Training of Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022 Jooyoung Choi Jungbeom Lee Chaehun Shin Sungwon Kim Hyunwoo J. Kim Sung-Hoon Yoon DiffM 253 318 0 01 Apr 2022
Equivariant Diffusion for Molecule Generation in 3DInternational Conference on Machine Learning (ICML), 2022 Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 351 766 0 31 Mar 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 189 29 0 25 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech SynthesisInternational Conference on Learning Representations (ICLR), 2022 Max W. Y. Lam Jun Wang Jane Polak Scowcroft Dong Yu DiffM 198 102 0 25 Mar 2022
Conditional Simulation Using Diffusion Schrödinger BridgesConference on Uncertainty in Artificial Intelligence (UAI), 2022 Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 180 70 0 27 Feb 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 169 3 0 22 Feb 2022
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-EncodersInternational Conference on Learning Representations (ICLR), 2022 Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 199 54 0 19 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample QualityInternational Conference on Learning Representations (ICLR), 2022 Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 210 210 0 11 Feb 2022
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in TrainingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Zehua Chen Xu Tan Ke Wang Shifeng Pan Danilo Mandic Lei He Sheng Zhao DiffM 156 34 0 08 Feb 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic ModelsInternational Conference on Learning Representations (ICLR), 2022 Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 310 387 0 17 Jan 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 184 7 0 13 Jan 2022
GenLabel: Mixup Relabeling using Generative ModelsInternational Conference on Machine Learning (ICML), 2022 Jy-yong Sohn Liang Shang Hongxu Chen Jaekyun Moon Dimitris Papailiopoulos Kangwook Lee VLM 180 14 0 07 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 442 138 0 02 Jan 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives Hideyuki Tachibana Mocho Go Muneyoshi Inahara Yotaro Katayama Yotaro Watanabe DiffM 221 4 0 26 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021 Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer DiffM 1.3K 20,333 0 20 Dec 2021
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic modelsKnowledge-Based Systems (KBS), 2021 Tijin Yan Tong Zhou Yufeng Zhan Yuanqing Xia DiffM 130 9 0 20 Dec 2021
Heavy-tailed denoising score matching J. Deasy Nikola Simidjievski Pietro Lio DiffM 185 20 0 17 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 331 655 0 15 Dec 2021
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Hyungjin Chung Byeongsu Sim Jong Chul Ye MedIm DiffM 414 413 0 09 Dec 2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation Minghui Hu Yujie Wang Tat-Jen Cham Jianfei Yang P.N.Suganthan DiffM 127 51 0 03 Dec 2021
SegDiff: Image Segmentation with Diffusion Probabilistic Models Tomer Amit Tal Shaharbany Eliya Nachmani Lior Wolf DiffM 299 385 0 01 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 304 518 0 30 Nov 2021
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes Sam Bond-Taylor P. Hessey Hiroshi Sasaki T. Breckon Chris G. Willcocks DiffM 212 83 0 24 Nov 2021
Density Ratio Estimation via Infinitesimal ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Kristy Choi Chenlin Meng Yang Song Stefano Ermon 295 52 0 22 Nov 2021
Bayesian Learning via Neural Schrödinger-Föllmer FlowsStatistics and computing (Stat Comput), 2021 Francisco Vargas Andrius Ovsianas David Fernandes Mark Girolami Neil D. Lawrence Nikolas Nusken BDL 723 57 0 20 Nov 2021
Palette: Image-to-Image Diffusion ModelsInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2021 Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 958 1,945 0 10 Nov 2021
Resampling Base Distributions of Normalizing FlowsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Vincent Stimper Bernhard Schölkopf José Miguel Hernández-Lobato BDL 176 41 0 29 Oct 2021
Hierarchical Transformers Are More Efficient Language Models Piotr Nawrot Szymon Tworkowski Michał Tyrolski Lukasz Kaiser Yuhuai Wu Christian Szegedy Henryk Michalewski 212 91 0 26 Oct 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs TheoryInternational Conference on Learning Representations (ICLR), 2021 T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 590 217 0 21 Oct 2021
Denoising Diffusion Gamma Models Eliya Nachmani S. Robin Lior Wolf DiffM VLM 177 33 0 10 Oct 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 384 495 0 08 Oct 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 451 192 0 05 Oct 2021
Score-Based Generative Classifiers Roland S. Zimmermann Lukas Schott Yang Song Benjamin A. Dunn David A. Klindt DiffM 207 73 0 01 Oct 2021
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov Jiansheng Wei DiffM BDL 244 171 0 28 Sep 2021
InfoNCE is variational inference in a recognition parameterised model Laurence Aitchison Stoil Ganev BDL 320 11 0 06 Jul 2021
Partition and Code: learning how to compress graphs Giorgos Bouritsas Andreas Loukas Nikolaos Karalias M. Bronstein 183 19 0 05 Jul 2021
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding Shengjie Luo Shanda Li Tianle Cai Di He Dinglan Peng Shuxin Zheng Guolin Ke Liwei Wang Tie-Yan Liu 173 55 0 23 Jun 2021
Score-based Generative Modeling in Latent SpaceNeural Information Processing Systems (NeurIPS), 2021 Arash Vahdat Karsten Kreis Jan Kautz DiffM 350 793 0 10 Jun 2021
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score EstimationInternational Conference on Machine Learning (ICML), 2021 Dongjun Kim Seung-Jae Shin Kyungwoo Song Wanmo Kang Il-Chul Moon 489 109 0 10 Jun 2021
Densely connected normalizing flowsNeural Information Processing Systems (NeurIPS), 2021 Matej Grcić Ivan Grubišić Sinisa Segvic TPM 246 64 0 08 Jun 2021