Introduces three algorithms for DIP early stopping via pseudo self-referenced images that outperform prior methods on natural and medical images under varying noise.
Rare: Image reconstruction using deep priors learned without groundtruth.IEEE Journal of Selected Topics in Signal Processing, 14(6):1088–1099, 2020
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A Principled Self-Referenced Early Stopping Approach for Deep Image Prior
Introduces three algorithms for DIP early stopping via pseudo self-referenced images that outperform prior methods on natural and medical images under varying noise.