Learn From Unpaired Data for Image Restoration: A Variational Bayes Approach
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DOI: 10.1109/tpami.2022.3215571
Abstract: Collecting paired training data is difficult in practice, but the unpaired samples broadly exist. Current approaches aim at generating synthesized training data from unpaired samples by exploring the relationship between the corrupted and clean data.… read more here.
Keywords: learn unpaired; unpaired data; data image; image restoration ... See more keywords