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}
}对于 REDS4，我们对 RGB 通道进行评估。对于其他数据集，我们对 Y 通道进行评估。我们使用 PSNR 和 SSIM 作为指标。
SPyNet 的 预训练权重在这里。
| 算法 | 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) |
GPU 信息 | 下载 |
|---|---|---|---|---|---|---|---|---|
| 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 | 2 (Tesla V100-PCIE-32GB) | 模型 | 日志 |
| 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 | 2 (Tesla V100-PCIE-32GB) | 模型 | 日志 |
| 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 | 2 (Tesla V100-PCIE-32GB) | 模型 | 日志 |