Maximum Likelihood Training of Score-Based Diffusion Models

22 January 2021

Papers citing "Maximum Likelihood Training of Score-Based Diffusion Models"

50 / 427 papers shown

Title
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation Guoqiang Zhang Niwa Kenta W. Kleijn DiffM 17 9 0 22 Apr 2023
DCFace: Synthetic Face Generation with Dual Condition Diffusion Model Minchul Kim Feng Liu Anil Jain Xiaoming Liu DiffM 27 111 0 14 Apr 2023
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Hanze Dong Wei Xiong Deepanshu Goyal Yihan Zhang Winnie Chow Rui Pan Shizhe Diao Jipeng Zhang Kashun Shum Tong Zhang ALM 11 399 0 13 Apr 2023
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction Hansheng Chen Jiatao Gu Anpei Chen Wei Tian Z. Tu Lingjie Liu Haoran Su VGen DiffM 39 146 0 13 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 22 49 0 10 Apr 2023
3D GANs and Latent Space: A comprehensive survey S. Tata Subhankar Mishra 19 0 0 08 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 21 9 0 28 Mar 2023
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer Shanghua Gao Pan Zhou Mingg-Ming Cheng Shuicheng Yan DiffM 137 155 0 25 Mar 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance Bram Wallace Akash Gokul Stefano Ermon Nikhil Naik 116 70 0 23 Mar 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 244 261 0 15 Mar 2023
Generalised Scale-Space Properties for Probabilistic Diffusion Models Pascal Peter DiffM 27 1 0 14 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale Fan Bao Shen Nie Kaiwen Xue Chongxuan Li Shiliang Pu Yaole Wang Gang Yue Yue Cao Hang Su Jun Zhu DiffM 199 148 0 12 Mar 2023
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation Paul Hagemann Sophie Mildenberger Lars Ruthotto Gabriele Steidl Ni Yang DiffM 53 22 0 08 Mar 2023
Deep Momentum Multi-Marginal Schrödinger Bridge T. Chen Guan-Horng Liu Molei Tao Evangelos A. Theodorou 20 9 0 03 Mar 2023
A Complete Recipe for Diffusion Generative Models Kushagra Pandey Stephan Mandt DiffM 41 8 0 03 Mar 2023
Defending against Adversarial Audio via Diffusion Model Shutong Wu Jiong Wang Wei Ping Weili Nie Chaowei Xiao DiffM 27 25 0 02 Mar 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation Diederik P. Kingma Ruiqi Gao DiffM 13 123 0 01 Mar 2023
Denoising Diffusion Samplers Francisco Vargas Will Grathwohl Arnaud Doucet DiffM 19 75 0 27 Feb 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min-Bin Lin Shuicheng Yan Zhijie Deng DiffM 25 2 0 21 Feb 2023
Modelos Generativos basados en Mecanismos de Difusión J. D. L. Torre DiffM 15 0 0 18 Feb 2023
Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu Yuehua Wu Zhiwei Deng Olga Russakovsky Yan Yan DiffM 12 23 0 16 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 22 21 0 14 Feb 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action Zhiye Guo Jian Liu Yanli Wang Mengrui Chen Duolin Wang Dong Xu Jianlin Cheng MedIm AI4CE DiffM 46 22 0 13 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 30 4 0 13 Feb 2023
I $^2$ SB: Image-to-Image Schrödinger Bridge Guan-Horng Liu Arash Vahdat De-An Huang Evangelos A. Theodorou Weili Nie Anima Anandkumar DiffM 20 132 0 12 Feb 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong A. Bose I. Gemp Chongli Qin Yoram Bachrach Gauthier Gidel EGVM 24 5 0 09 Feb 2023
Divide and Compose with Score Based Generative Models S. Ghimire Armand Comas Davin Hill A. Masoomi Octavia Camps Jennifer Dy DiffM 25 0 0 05 Feb 2023
Diffusion Models for High-Resolution Solar Forecasts Yusuke Hatanaka Yannik Glaser Geoff Galgon G. Torri Peter Sadowski DiffM 16 19 0 01 Feb 2023
Transport with Support: Data-Conditional Diffusion Bridges Ella Tamir Martin Trapp Arno Solin DiffM OT 23 7 0 31 Jan 2023
Image Restoration with Mean-Reverting Stochastic Differential Equations Ziwei Luo Fredrik K. Gustafsson Zheng Zhao Jens Sjölund Thomas B. Schon DiffM 31 155 0 27 Jan 2023
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation Wengong Jin Siranush Sarkizova Xun Chen N. Hacohen Caroline Uhler 19 19 0 25 Jan 2023
Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 11 8 0 24 Jan 2023
$FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows$ FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows Aditya Kallappa Sandeep Nagar Girish Varma 17 2 0 23 Jan 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 29 0 0 20 Jan 2023
Your diffusion model secretly knows the dimension of the data manifold Jan Stanczuk Georgios Batzolis Teo Deveney Carola-Bibiane Schönlieb DiffM 24 24 0 23 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 16 7 0 22 Dec 2022
GFPose: Learning 3D Human Pose Prior with Gradient Fields Hai Ci Min-Yu Wu Wenjie Zhu Xiaoxuan Ma Hao Dong Fangwei Zhong Yizhou Wang 3DH 13 61 0 16 Dec 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance Dohyun Kwon Ying Fan Kangwook Lee DiffM 12 49 0 13 Dec 2022
Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet Yannic Neuhaus Maximilian Augustin Valentyn Boreiko Matthias Hein AAML 29 29 0 09 Dec 2022
Multiscale Structure Guided Diffusion for Image Deblurring Mengwei Ren M. Delbracio Hossein Talebi Guido Gerig P. Milanfar DiffM 16 58 0 04 Dec 2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion Norman Muller Yawar Siddiqui Lorenzo Porzi Samuel Rota Buló Peter Kontschieder Matthias Nießner 32 185 0 02 Dec 2022
Why Are Conditional Generative Models Better Than Unconditional Ones? Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu DiffM 20 20 0 01 Dec 2022
Denoising Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 28 5 0 30 Nov 2022
Wavelet Diffusion Models are fast and scalable Image Generators Hao Phung Quan Dao Anh Tran DiffM 31 86 0 29 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 33 84 0 28 Nov 2022
Continuous diffusion for categorical data Sander Dieleman Laurent Sartran Arman Roshannai Nikolay Savinov Yaroslav Ganin ... Conor Durkan Curtis Hawthorne Rémi Leblond Will Grathwohl J. Adler DiffM 19 98 0 28 Nov 2022
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene Animesh Karnewar Oliver Wang Tobias Ritschel Niloy Mitra 28 12 0 27 Nov 2022
Diffusion Probabilistic Model Made Slim Xingyi Yang Daquan Zhou Jiashi Feng Xinchao Wang DiffM 25 100 0 27 Nov 2022
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models Hyungjin Chung Dohoon Ryu Michael T. McCann M. Klasky J. C. Ye DiffM MedIm 24 102 0 19 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 39 0 17 Nov 2022