BriefGPT.xyz
Dec, 2021
基于得分的生成建模方法及临界阻尼 Langevin 漫步
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
HTML
PDF
Tim Dockhorn, Arash Vahdat, Karsten Kreis
TL;DR
通过引入一种新的,临界阻尼Langevin扩散,该文提出一种基于分数的生成模型框架,它可以更轻松地学习条件分布的速度得分函数,这比直接学习数据分数函数要容易得多,并用于高分辨率图像合成任务。
Abstract
score-based generative models
(SGMs) have demonstrated remarkable synthesis quality. SGMs rely on a
diffusion process
that gradually perturbs the data towards a tractable distribution, while the generative model
→