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BasicVSR++

BasicVSR++
@article{chan2021basicvsr++,
  author = {Chan, Kelvin C.K. and Zhou, Shangchen and Xu, Xiangyu and Loy, Chen Change},
  title = {BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment},
  booktitle = {arXiv preprint arXiv:2104.13371},
  year = {2021}
}

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) Download
basicvsr_plusplus_c64n7_8x1_600k_reds4 32.3855/0.9069 36.4445/0.9411 27.7674/0.8444 34.6868/0.9417 34.0372/0.9244 24.6209/0.7540 model | log
basicvsr_plusplus_c64n7_4x2_300k_vimeo90k_bi 31.0126/0.8804 37.7864/0.9500 27.7882/0.8401 33.1211/0.9270 33.8972/0.9195 23.6086/0.7033 model | log
basicvsr_plusplus_c64n7_4x2_300k_vimeo90k_bd 29.2041/0.8528 34.7248/0.9351 26.4377/0.8074 40.7216/0.9722 38.2054/0.9550 29.0400/0.8753 model | log
NTIRE 2021 checkpoints

Note that the following models are finetuned from smaller models. The training schemes of these models will be released when MMEditing reaches 5k stars. We provide the pre-trained models here.

NTIRE 2021 Video Super-Resolution

NTIRE 2021 Quality Enhancement of Compressed Video - Track 1

NTIRE 2021 Quality Enhancement of Compressed Video - Track 2

NTIRE 2021 Quality Enhancement of Compressed Video - Track 3