Preprint Open access
Consecutive Posterior Fusion for Diffusive Recovery of Unobservable Image Structures
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 inferring such missing information, while posterior sampling incorporates measurement consistency along the rev …