A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models

5 August 2024

Yuxin Chen

Papers citing "A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models"

22 / 22 papers shown

Title
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution Gen Li Yuchen Jiao 44 0 0 02 May 2025
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees Nishant Jain Xunpeng Huang Yian Ma Tong Zhang 31 0 0 02 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
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 39 0 0 03 Jan 2025
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure Xiang Li Yixiang Dai Qing Qu DiffM AI4CE 23 5 0 31 Oct 2024
Improved Convergence Rate for Diffusion Probabilistic Models Gen Li Yuchen Jiao DiffM 25 6 0 17 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 19 0 0 16 Oct 2024
Shallow diffusion networks provably learn hidden low-dimensional structure Nicholas M. Boffi Arthur Jacot Stephen Tu Ingvar M. Ziemann DiffM 24 1 0 15 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 44 3 0 03 Oct 2024
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation Rong Tang Lizhen Lin Yun Yang DiffM 11 1 0 30 Sep 2024
What does guidance do? A fine-grained analysis in a simple setting Muthu Chidambaram Khashayar Gatmiry Sitan Chen Holden Lee Jianfeng Lu 16 8 0 19 Sep 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 50 3 0 03 Sep 2024
Provable Statistical Rates for Consistency Diffusion Models Zehao Dou Minshuo Chen Mengdi Wang Zhuoran Yang DiffM 12 3 0 23 Jun 2024
Faster Diffusion-based Sampling with Randomized Midpoints: Sequential and Parallel Shivam Gupta Linda Cai Sitan Chen 31 1 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 33 15 0 24 May 2024
Convergence of Continuous Normalizing Flows for Learning Probability Distributions Yuan Gao Jianxia Huang Yifan Jiang Shurong Zheng 17 7 0 31 Mar 2024
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 186 1,098 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 213 1,277 0 02 Sep 2022