NTIRE 2021 Challenge on Video Super-Resolution
- URL: http://arxiv.org/abs/2104.14852v1
- Date: Fri, 30 Apr 2021 09:12:19 GMT
- Title: NTIRE 2021 Challenge on Video Super-Resolution
- Authors: Sanghyun Son, Suyoung Lee, Seungjun Nah, Radu Timofte, and Kyoung Mu
Lee
- Abstract summary: Super-Resolution (SR) is a computer vision task that aims to obtain a high-resolution clean image from the given low-resolution counterpart.
This paper reviews the NTIRE Challenge on Video Super-Resolution.
- Score: 103.59395980541574
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- 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.
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