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Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning

Deveney, Teo et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Flow-matching and diffusion models are increasingly used as priors for linear inverse problems, however, most methods are bespoke to one class of trajectory prior. Plug-and-play methods have been proposed, however these implicitly decorrelate the guided trajectory, resulting in broad priors that can
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