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A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.15144v2 Announce Type: replace Abstract: Pretrained diffusion models represent image distributions through a continuum of progressively smoothed distributions. This multiscale structure organizes generation from global structure to fine detail and supports high-quality, diverse samples.…

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  1. 2026-09-04 04:00 · arXiv stat.ML
    A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors

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