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Fast Diffusion Model

Published in arXiv (Cornell University) • Jun 12, 2023
NobleIDNI3P50W08R96S14
Authors:
Zike Wu
,
Pan Zhou
,
Kenji Kawaguchi

Abstract

Diffusion models (DMs) have been adopted across diverse fields with its remarkable abilities in capturing intricate data distributions. In this paper, we propose a Fast Diffusion Model (FDM) to significantly speed up DMs from a stochastic optimization perspective for both faster training and samplin...

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