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.
翻译：超级分辨率(SR)是一项基本的计算机愿景任务,目的是从特定低分辨率对应方获得高分辨率清洁图像。本文件回顾了2021年NTRE关于超分辨率视频的挑战。我们介绍了两个竞争轨道的评价结果以及拟议的解决方案。第一轨道旨在开发传统的视频SR方法,侧重于恢复质量。第二轨道设想一个更具挑战性的环境,其框架率较低,造成时空性性能问题。在每次竞争中,有247人和223人分别登记。在最后测试阶段,14个团队在每个轨道上竞相完成最新水平的视频SR任务。
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