  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.
