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...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!