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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…
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Keywords:
imaging conditional;
injective flows;
flows bayesian;
memory ... See more keywords