Consecutive Posterior Fusion for Diffusive Recovery of Unobservable Image Structures.

arXiv:2610.03261v1 Announce Type: cross Abstract: Solving severely ill-posed imaging inverse problems requires recovering image structures that are unobservable or weakly constrained by the measurements. Diffusion models provide expressive learned priors for i