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Convergence of denoising diffusion models under the manifold hypothesis

10 August 2022

Papers citing "Convergence of denoising diffusion models under the manifold hypothesis"

26 / 126 papers shown

Title
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang George Alex Koulieris Hyung Jin Chang Hubert P. H. Shum DiffM 183 56 0 07 Jun 2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations Yu Cao Jingrun Chen Yixin Luo Xiaoping Zhou DiffM 101 9 0 03 Jun 2023
Extracting Reward Functions from Diffusion Models Felipe Nuti Tim Franzmeyer João F. Henriques 87 15 0 01 Jun 2023
Conditional score-based diffusion models for Bayesian inference in infinite dimensions Lorenzo Baldassari Ali Siahkoohi Josselin Garnier K. Sølna Maarten V. de Hoop DiffM 110 23 0 28 May 2023
Toward Understanding Generative Data Augmentation Chenyu Zheng Guoqiang Wu Chongxuan Li 96 31 0 27 May 2023
Error Bounds for Flow Matching Methods Joe Benton George Deligiannidis Arnaud Doucet DiffM 109 38 0 26 May 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction Francesco Pedrotti J. Maas Marco Mondelli DiffM 111 15 0 23 May 2023
The probability flow ODE is provably fast Sitan Chen Sinho Chewi Holden Lee Yuanzhi Li Jianfeng Lu Adil Salim DiffM 102 91 0 19 May 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning Enze Xie Lewei Yao Han Shi Zhili Liu Daquan Zhou Zhaoqiang Liu Jiawei Li Zhenguo Li 74 81 0 13 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 64 9 0 28 Mar 2023
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers Sitan Chen Giannis Daras A. Dimakis DiffM 89 65 0 06 Mar 2023
Denoising Diffusion Samplers Francisco Vargas Will Grathwohl Arnaud Doucet DiffM 77 91 0 27 Feb 2023
Infinite-Dimensional Diffusion Models Jakiw Pidstrigach Youssef Marzouk Sebastian Reich Sven Wang 132 13 0 20 Feb 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data Minshuo Chen Kaixuan Huang Tuo Zhao Mengdi Wang DiffM 71 108 0 14 Feb 2023
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models Litu Rout Advait Parulekar Constantine Caramanis Sanjay Shakkottai DiffM 84 58 0 02 Feb 2023
Denoising Deep Generative Models Gabriel Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 102 5 0 30 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 120 89 0 28 Nov 2022
From Denoising Diffusions to Denoising Markov Models Joe Benton Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 119 35 0 07 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions Hongrui Chen Holden Lee Jianfeng Lu DiffM 89 142 0 03 Nov 2022
Convergence of the Inexact Langevin Algorithm and Score-based Generative Models in KL Divergence Kaylee Yingxi Yang Andre Wibisono 93 12 0 02 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 145 97 0 02 Nov 2022
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 254 137 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 227 278 0 22 Sep 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 73 47 0 10 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 296 53 0 27 May 2022
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks Dong-Young Lim Sotirios Sabanis 97 12 0 28 May 2021