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BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

Introduction

@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}
}

Results and Models

Evaluated on RGB channels for REDS4 and Y channel for others. The metrics are PSNR/SSIM.

The pretrained weights of the IconVSR components can be found here: SPyNet, EDVR-M for REDS, and EDVR-M for Vimeo-90K.

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)
Download
iconvsr_reds4 31.6926/0.8951 36.4983/0.9416 27.4809/0.8354 35.3377/0.9471 34.4299/0.9287 25.2110/0.7732 model | log
iconvsr_vimeo90k_bi 30.3452/0.8659 37.3729/0.9467 27.4238/0.8297 34.2595/0.9398 34.5548/0.9295 24.6666/0.7491 model | log
iconvsr_vimeo90k_bd 29.0150/0.8465 34.6780/0.9339 26.3109/0.8028 40.0640/0.9697 37.7573/0.9517 28.2464/0.8612 model | log