Generative Modeling by Estimating Gradients of the Data Distribution

12 July 2019

Papers citing "Generative Modeling by Estimating Gradients of the Data Distribution"

50 / 1,005 papers shown

Title
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 46 188 0 05 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 95 1,191 0 30 May 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 35 57 0 29 May 2021
Gotta Go Fast When Generating Data with Score-Based Models Alexia Jolicoeur-Martineau Ke Li Remi Piche-Taillefer Tal Kachman Ioannis Mitliagkas DiffM 39 216 0 28 May 2021
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion Songxiang Liu Yuewen Cao Dan Su Helen Meng DiffM 32 57 0 28 May 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov DiffM 66 518 0 13 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 90 7,547 0 11 May 2021
Learning Gradient Fields for Molecular Conformation Generation Chence Shi Shitong Luo Minkai Xu Jian Tang DiffM AI4CE 42 214 0 09 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism Jinglin Liu Chengxi Li Yi Ren Feiyang Chen Zhou Zhao DiffM 58 259 0 06 May 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 245 489 0 20 Apr 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks Carles Domingo-Enrich A. Bietti Eric Vanden-Eijnden Joan Bruna BDL 42 9 0 15 Apr 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 44 105 0 06 Apr 2021
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling Junhyeok Lee Seungu Han DiffM 29 67 0 06 Apr 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 57 190 0 30 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 51 491 0 08 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 31 108 0 08 Mar 2021
Energy-Based Learning for Scene Graph Generation M. Suhail Abhay Mittal Behjat Siddiquie Chris Broaddus J. Eledath Gérard Medioni Leonid Sigal 53 160 0 03 Mar 2021
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss Zhisheng Xiao Qing Yan Y. Amit 37 2 0 23 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 65 3,570 0 18 Feb 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 32 176 0 25 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 69 633 0 22 Jan 2021
Denoising Score Matching with Random Fourier Features Olga Tsymboi Yermek Kapushev Evgeny Burnaev Ivan Oseledets 44 1 0 13 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 29 249 0 09 Jan 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 23 124 0 15 Dec 2020
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 64 9 0 11 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 58 140 0 02 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 143 6,174 0 26 Nov 2020
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi B. Remy F. Lanusse Jean-Luc Starck P. Ciuciu UQCV MedIm 50 14 0 16 Nov 2020
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood Junier Oliva M. Styner OODD 32 30 0 25 Oct 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 49 12 0 19 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 61 7,105 0 06 Oct 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model Zhuonan He Yikun Zhang Yu Guan S. Niu Yi Zhang Yang Chen Qiegen Liu DiffM MedIm 43 12 0 27 Sep 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 41 1,408 0 21 Sep 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 40 125 0 11 Sep 2020
Blindness of score-based methods to isolated components and mixing proportions Wenliang K. Li Heishiro Kanagawa 36 34 0 23 Aug 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 24 280 0 14 Aug 2020
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction Cong Quan Jinjie Zhou Yuanzheng Zhu Yang Chen Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 32 26 0 14 Aug 2020
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser Zahra Kadkhodaie Eero P. Simoncelli 37 82 0 27 Jul 2020
DeepNNK: Explaining deep models and their generalization using polytope interpolation Sarath Shekkizhar Antonio Ortega 14 6 0 20 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 62 147 0 13 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 38 53 0 07 Jul 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 39 31 0 22 Jun 2020
Telescoping Density-Ratio Estimation Benjamin Rhodes Kai Xu Michael U. Gutmann 40 94 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 120 17,198 0 19 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 56 1,127 0 16 Jun 2020
Nonparametric Score Estimators Yuhao Zhou Jiaxin Shi Jun Zhu 40 23 0 20 May 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator Yuxuan Song Qiwei Ye Minkai Xu Tie-Yan Liu 30 8 0 05 Apr 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 68 36 0 18 Mar 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 33 50 0 26 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 48 530 0 06 Dec 2019