VRT: A Video Restoration Transformer
Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool Computer Vision Lab, ETH Zurich & Meta Inc. arxiv|supplementary|pretrained models|visual results This repository is the official PyTorch implementation of “VRT: A Video Restoration Transformer”(arxiv, supp, pretrained models, visual results). VRT ahcieves state-of-the-art performance (up to 2.16dB) in video SR (REDS, Vimeo90K, Vid4 and UDM10) video deblurring (GoPro, DVD and REDS) video denoising (DAVIS and Set8)
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