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News/Local MAP Sampling for Diffusion Models
arxiv
PublishedMay 26, 2026 at 4:00 AM
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Local MAP Sampling for Diffusion Models

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arXiv:2510.07343v3 Announce Type: replace-cross Abstract: Diffusion Posterior Sampling (DPS) provides a principled Bayesian approach to inverse problems by sampling from $p(x_0 \mid y)$. While posterior sampling is valuable for capturing uncertainty and multi-modality, many classical and practical i

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Read original ↗All from arxiv →
Tags
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#image-restoration#scientific-applications#bayesian-inference#optimization

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