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Progressively Inpainting Images Based on a Forked-Then-Fused Decoder Network
2021
Sensors
Image inpainting aims to fill in corrupted regions with visually realistic and semantically plausible contents. In this paper, we propose a progressive image inpainting method, which is based on a forked-then-fused decoder network. A unit called PC-RN, which is the combination of partial convolution and region normalization, serves as the basic component to construct inpainting network. The PC-RN unit can extract useful features from the valid surroundings and can suppress incompleteness-caused
doi:10.3390/s21196336
pmid:34640656
pmcid:PMC8512423
fatcat:oxhextdavvg2regfz3d4redxnm