Towards a mathematical theory for consistency training in diffusion models

12 February 2024

Papers citing "Towards a mathematical theory for consistency training in diffusion models"

7 / 7 papers shown

Title
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions Yiding Chen Yiyi Zhang Owen Oertell Wen Sun DiffM 52 0 0 06 May 2025
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees Nishant Jain Xunpeng Huang Yian Ma Tong Zhang 46 0 0 02 May 2025
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 33 22 0 05 Aug 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably Gen Li Yu Huang Timofey Efimov Yuting Wei Yuejie Chi Yuxin Chen DiffM 56 29 0 06 Mar 2024
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 187 128 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 132 246 0 22 Sep 2022
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 189 258 0 07 Jan 2021