Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models

15 June 2023

Papers citing "Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models"

45 / 45 papers shown

Title
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions Yiding Chen Yiyi Zhang Owen Oertell Wen Sun DiffM 47 0 0 06 May 2025
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures Gen Li Changxiao Cai Yuting Wei DiffM 20 1 0 07 Apr 2025
Fine-Tuning Diffusion Generative Models via Rich Preference Optimization Hanyang Zhao Haoxian Chen Yucheng Guo Genta Indra Winata Tingting Ou Ziyu Huang D. Yao Wenpin Tang 54 0 0 13 Mar 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness Zekun Wang Mingyang Yi Shuchen Xue Z. Li Ming Liu Bing Qin Zhi-Ming Ma DiffM 37 0 0 24 Feb 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 93 0 0 13 Feb 2025
Information-Theoretic Proofs for Diffusion Sampling Galen Reeves H. Pfister DiffM 87 0 0 04 Feb 2025
Improved Convergence Rate for Diffusion Probabilistic Models Gen Li Yuchen Jiao DiffM 36 6 0 17 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 33 3 0 04 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 47 3 0 03 Oct 2024
Posterior sampling via Langevin dynamics based on generative priors Vishal Purohit Matthew Repasky Jianfeng Lu Qiang Qiu Yao Xie Xiuyuan Cheng DiffM 26 1 0 02 Oct 2024
What does guidance do? A fine-grained analysis in a simple setting Muthu Chidambaram Khashayar Gatmiry Sitan Chen Holden Lee Jianfeng Lu 24 8 0 19 Sep 2024
Constrained Diffusion Models via Dual Training Shervin Khalafi Dongsheng Ding Alejandro Ribeiro 27 3 0 27 Aug 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 33 21 0 05 Aug 2024
Convergence of the denoising diffusion probabilistic models for general noise schedules Yumiharu Nakano DiffM 47 0 0 03 Jun 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen Yinuo Ren Lexing Ying Grant M. Rotskoff 38 15 0 24 May 2024
Model Free Prediction with Uncertainty Assessment Yuling Jiao Lican Kang Jin Liu Heng Peng Heng Zuo DiffM 19 0 0 21 May 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 31 11 0 29 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 32 48 0 11 Apr 2024
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction Xingyu Xu Yuejie Chi DiffM 24 20 0 25 Mar 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably Gen Li Yu Huang Timofey Efimov Yuting Wei Yuejie Chi Yuxin Chen DiffM 51 29 0 06 Mar 2024
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models Yuchen Wu Minshuo Chen Zihao Li Mengdi Wang Yuting Wei 35 23 0 03 Mar 2024
Critical windows: non-asymptotic theory for feature emergence in diffusion models Marvin Li Sitan Chen DiffM 35 11 0 03 Mar 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion Ye He Kevin Rojas Molei Tao DiffM 33 8 0 27 Feb 2024
Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization Hongrui Chen Lexing Ying 22 11 0 12 Feb 2024
Towards a mathematical theory for consistency training in diffusion models Gen Li Zhihan Huang Yuting Wei 61 16 0 12 Feb 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial Wenpin Tang Hanyang Zhao DiffM 36 23 0 12 Feb 2024
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances Xuefeng Gao Lingjiong Zhu 17 20 0 31 Jan 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization Yinbin Han Meisam Razaviyayn Renyuan Xu DiffM 38 12 0 28 Jan 2024
Contractive Diffusion Probabilistic Models Wenpin Tang Hanyang Zhao DiffM 36 12 0 23 Jan 2024
A Good Score Does not Lead to A Good Generative Model Sixu Li Shi Chen Qin Li DiffM 64 15 0 10 Jan 2024
A Note on the Convergence of Denoising Diffusion Probabilistic Models S. Mbacke Omar Rivasplata DiffM 14 5 0 10 Dec 2023
Conditional Stochastic Interpolation for Generative Learning Ding Huang Jian Huang Ting Li Guohao Shen BDL DiffM 31 4 0 09 Dec 2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space Xiuyuan Cheng Jianfeng Lu Yixin Tan Yao Xie 96 15 0 26 Oct 2023
Analysis of learning a flow-based generative model from limited sample complexity Hugo Cui Florent Krzakala Eric Vanden-Eijnden Lenka Zdeborová DRL 22 17 0 05 Oct 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models Song Mei Yuchen Wu DiffM 21 26 0 20 Sep 2023
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic Localization Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 31 101 0 07 Aug 2023
Learning Mixtures of Gaussians Using the DDPM Objective Kulin Shah Sitan Chen Adam R. Klivans DiffM 29 37 0 03 Jul 2023
Error Bounds for Flow Matching Methods Joe Benton George Deligiannidis Arnaud Doucet DiffM 20 31 0 26 May 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction Francesco Pedrotti J. Maas Marco Mondelli DiffM 24 14 0 23 May 2023
The probability flow ODE is provably fast Sitan Chen Sinho Chewi Holden Lee Yuanzhi Li Jianfeng Lu Adil Salim DiffM 28 84 0 19 May 2023
Diffusion Models are Minimax Optimal Distribution Estimators Kazusato Oko Shunta Akiyama Taiji Suzuki DiffM 61 84 0 03 Mar 2023
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 177 128 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 123 245 0 22 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 191 1,133 0 10 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,296 0 02 Sep 2022