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VRT: A Video Restoration Transformer. (arXiv:2201.12288v2 [cs.CV] UPDATED)
Web: http://arxiv.org/abs/2201.12288
June 16, 2022, 1:13 a.m. | Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool
cs.CV updates on arXiv.org arxiv.org
Video restoration (e.g., video super-resolution) aims to restore high-quality
frames from low-quality frames. Different from single image restoration, video
restoration generally requires to utilize temporal information from multiple
adjacent but usually misaligned video frames. Existing deep methods generally
tackle with this by exploiting a sliding window strategy or a recurrent
architecture, which either is restricted by frame-by-frame restoration or lacks
long-range modelling ability. In this paper, we propose a Video Restoration
Transformer (VRT) with parallel frame prediction and long-range temporal …
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