AI RESEARCH
An Analysis of Regularization and Fokker-Planck Residuals in Diffusion Models for Image Generation
arXiv CS.LG
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ArXi:2604.15171v1 Announce Type: cross Recent work has shown that diffusion models trained with the denoising score matching (DSM) objective often violate the Fokker--Planck (FP) equation that governs the evolution of the true data density. Directly penalizing these deviations in the objective function reduces their magnitude but