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BasicVSR (CVPR'2021)

BasicVSR (CVPR'2021)
@InProceedings{chan2021basicvsr,
  author = {Chan, Kelvin CK and Wang, Xintao and Yu, Ke and Dong, Chao and Loy, Chen Change},
  title = {BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond},
  booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
  year = {2021}
}

Evaluated on RGB channels for REDS4 and Y channel for others. The metrics are PSNR / SSIM . The pretrained weights of SPyNet can be found here.

Method REDS4 (BIx4)
PSNR/SSIM (RGB)
Vimeo-90K-T (BIx4)
PSNR/SSIM (Y)
Vid4 (BIx4)
PSNR/SSIM (Y)
UDM10 (BDx4)
PSNR/SSIM (Y)
Vimeo-90K-T (BDx4)
PSNR/SSIM (Y)
Vid4 (BDx4)
PSNR/SSIM (Y)
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basicvsr_reds4 31.4170/0.8909 36.2848/0.9395 27.2694/0.8318 33.4478/0.9306 34.4700/0.9286 24.4541/0.7455 model | log
basicvsr_vimeo90k_bi 30.3128/0.8660 37.2026/0.9451 27.2755/0.8248 34.5554/0.9434 34.8097/0.9316 25.0517/0.7636 model | log
basicvsr_vimeo90k_bd 29.0376/0.8481 34.6427/0.9335 26.2708/0.8022 39.9953/0.9695 37.5501/0.9499 27.9791/0.8556 model | log