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Oct, 2023
一种更快的扩散指数积分抽样的分数标准化
Score Normalization for a Faster Diffusion Exponential Integrator Sampler
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Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei...
TL;DR
在这篇研究中,提出了一种名为DEIS-SN的方法,通过对得分进行重新参数化,并减少集成误差来改进从扩散模型生成样本的质量,实验结果表明在10个函数评估中,FID从6.44降低到5.57。
Abstract
Recently, zhang et al have proposed the
diffusion exponential integrator sampler
(DEIS) for fast generation of samples from Diffusion Models. It leverages the semi-linear nature of the
probability flow ordinary differen
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