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Understanding Diffusion Models by Feynman's Path Integral

By Yuji Hirono and others at
LogoRIKEN
and
LogoUniversity of Tokyo
Score-based diffusion models have proven effective in image generation and have gained widespread usage; however, the underlying factors contributing to the performance disparity between stochastic and deterministic (i.e., the probability flow ODEs) sampling schemes remain unclear. We introduce a novel formulation of diffusion models using Feynman's path integral, which is... Show more
March 17, 2024
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Understanding Diffusion Models by Feynman's Path Integral
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