NTIRE 2021 Challenge on Video Super-Resolution
Abstract
Super-Resolution (SR) is a fundamental computer vision task that aims to obtain a high-resolution clean image from the given low-resolution counterpart. This paper reviews the NTIRE 2021 Challenge on Video Super-Resolution. We present evaluation results from two competition tracks as well as the proposed solutions. Track 1 aims to develop conventional video SR methods focusing on the restoration quality. Track 2 assumes a more challenging environment with lower frame rates, casting spatio-temporal SR problem. In each competition, 247 and 223 participants have registered, respectively. During the final testing phase, 14 teams competed in each track to achieve state-of-the-art performance on video SR tasks.
Cite
Text
Son et al. "NTIRE 2021 Challenge on Video Super-Resolution." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2021. doi:10.1109/CVPRW53098.2021.00026Markdown
[Son et al. "NTIRE 2021 Challenge on Video Super-Resolution." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2021.](https://mlanthology.org/cvprw/2021/son2021cvprw-ntire/) doi:10.1109/CVPRW53098.2021.00026BibTeX
@inproceedings{son2021cvprw-ntire,
title = {{NTIRE 2021 Challenge on Video Super-Resolution}},
author = {Son, Sanghyun and Lee, Suyoung and Nah, Seungjun and Timofte, Radu and Lee, Kyoung Mu},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2021},
pages = {166-181},
doi = {10.1109/CVPRW53098.2021.00026},
url = {https://mlanthology.org/cvprw/2021/son2021cvprw-ntire/}
}