Variational Diffusion Models

1 July 2021

Papers citing "Variational Diffusion Models"

50 / 771 papers shown

Title
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 39 81 0 16 Jun 2022
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation Ye Zhu Yuehua Wu Kyle Olszewski Jian Ren Sergey Tulyakov Yan Yan DiffM 28 47 0 15 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu Bo Zhang DiffM 36 72 0 15 Jun 2022
Multi-instrument Music Synthesis with Spectrogram Diffusion Curtis Hawthorne Ian Simon Adam Roberts Neil Zeghidour Josh Gardner Ethan Manilow Jesse Engel DiffM 21 49 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 15 46 0 10 Jun 2022
Overcoming the Spectral Bias of Neural Value Approximation Ge Yang Anurag Ajay Pulkit Agrawal 34 25 0 09 Jun 2022
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem Brian L. Trippe Jason Yim D. Tischer D. Baker Tamara Broderick Regina Barzilay Tommi Jaakkola DiffM 14 231 0 08 Jun 2022
Score-Based Generative Models Detect Manifolds Jakiw Pidstrigach DiffM 27 72 0 02 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 48 1,347 0 02 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models Kamil Deja Anna Kuzina Tomasz Trzciñski Jakub M. Tomczak DiffM 36 25 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 183 49 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 779 0 27 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 213 52 0 27 May 2022
Training and Inference on Any-Order Autoregressive Models the Right Way Andy Shih Dorsa Sadigh Stefano Ermon BDL TPM OOD CML 35 23 0 26 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process Zhaoyang Lyu Xu Xudong Ceyuan Yang Dahua Lin Bo Dai DiffM 195 92 0 25 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 69 5,797 0 23 May 2022
Adversarial random forests for density estimation and generative modeling David S. Watson Kristin Blesch Jan Kapar Marvin N. Wright GAN 65 20 0 19 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 218 419 0 16 May 2022
Subspace Diffusion Generative Models Bowen Jing Gabriele Corso Renato Berlinghieri Tommi Jaakkola DiffM 33 75 0 03 May 2022
Semi-Parametric Neural Image Synthesis A. Blattmann Robin Rombach Kaan Oktay Jonas Muller Bjorn Ommer DiffM 36 28 0 25 Apr 2022
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations Michael Poli Winnie Xu Stefano Massaroli Chenlin Meng Kuno Kim Stefano Ermon 37 3 0 15 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 19 28 0 14 Apr 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 47 1,523 0 07 Apr 2022
Statistical Model Criticism of Variational Auto-Encoders Claartje Barkhof Wilker Aziz DRL 27 3 0 06 Apr 2022
Split Hierarchical Variational Compression Tom Ryder Chen Zhang Ning Kang Shifeng Zhang 19 11 0 05 Apr 2022
Perception Prioritized Training of Diffusion Models Jooyoung Choi Jungbeom Lee Chaehun Shin Sungwon Kim Hyunwoo J. Kim Sung-Hoon Yoon DiffM 22 232 0 01 Apr 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 41 573 0 31 Mar 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 26 28 0 25 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis Max W. Y. Lam Jun Wang Dan Su Dong Yu DiffM 36 92 0 25 Mar 2022
Conditional Simulation Using Diffusion Schrödinger Bridges Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 20 53 0 27 Feb 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 26 3 0 22 Feb 2022
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 19 46 0 19 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 27 179 0 11 Feb 2022
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training Zehua Chen Xu Tan Ke Wang Shifeng Pan Danilo Mandic Lei He Sheng Zhao DiffM 31 28 0 08 Feb 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 57 337 0 17 Jan 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 25 7 0 13 Jan 2022
GenLabel: Mixup Relabeling using Generative Models Jy-yong Sohn Liang Shang Hongxu Chen Jaekyun Moon Dimitris Papailiopoulos Kangwook Lee VLM 11 15 0 07 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 28 114 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 27 3 0 26 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 150 14,683 0 20 Dec 2021
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models Tijin Yan Tong Zhou Yufeng Zhan Yuanqing Xia DiffM 21 7 0 20 Dec 2021
Heavy-tailed denoising score matching J. Deasy Nikola Simidjievski Pietro Lio DiffM 31 14 0 17 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 42 539 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 39 343 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 13 40 0 03 Dec 2021
SegDiff: Image Segmentation with Diffusion Probabilistic Models Tomer Amit Tal Shaharbany Eliya Nachmani Lior Wolf DiffM 19 296 0 01 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 37 415 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 27 71 0 24 Nov 2021
Density Ratio Estimation via Infinitesimal Classification Kristy Choi Chenlin Meng Yang Song Stefano Ermon 14 38 0 22 Nov 2021
Bayesian Learning via Neural Schrödinger-Föllmer Flows Francisco Vargas Andrius Ovsianas David Fernandes Mark Girolami Neil D. Lawrence Nikolas Nusken BDL 34 45 0 20 Nov 2021