Web: http://arxiv.org/abs/2205.05065

May 11, 2022, 1:10 a.m. | Chong Mou, Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang, Ying Shan

cs.CV updates on arXiv.org arxiv.org

Interactive image restoration aims to restore images by adjusting several
controlling coefficients, which determine the restoration strength. Existing
methods are restricted in learning the controllable functions under the
supervision of known degradation types and levels. They usually suffer from a
severe performance drop when the real degradation is different from their
assumptions. Such a limitation is due to the complexity of real-world
degradations, which can not provide explicit supervision to the interactive
modulation during training. However, how to realize the …

arxiv cv interactive learning

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