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Restoration of User Videos Shared on Social Media. (arXiv:2208.08597v2 [cs.CV] UPDATED)
Aug. 29, 2022, 1:14 a.m. | Hongming Luo, Fei Zhou, Kin-man Lam, Guoping Qiu
cs.CV updates on arXiv.org arxiv.org
User videos shared on social media platforms usually suffer from degradations
caused by unknown proprietary processing procedures, which means that their
visual quality is poorer than that of the originals. This paper presents a new
general video restoration framework for the restoration of user videos shared
on social media platforms. In contrast to most deep learning-based video
restoration methods that perform end-to-end mapping, where feature extraction
is mostly treated as a black box, in the sense that what role a …
More from arxiv.org / cs.CV updates on arXiv.org
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