Conditional Injective Flows for Bayesian Imaging
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2023.3248949
Abstract: Most deep learning models for computational imaging regress a single reconstructed image. In practice, however, ill-posedness, nonlinearity, model mismatch, and noise often conspire to make such point estimates misleading or insufficient. The Bayesian approach models… read more here.
Keywords: imaging conditional; injective flows; flows bayesian; memory ... See more keywords