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      NTIRE 2021 Challenge on Video Super-Resolution

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          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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          Author and article information

          Journal
          30 April 2021
          Article
          2104.14852
          2e09dc09-0340-4039-8598-32ad5384be5b

          http://creativecommons.org/licenses/by-nc-nd/4.0/

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          Custom metadata
          An official report for NTIRE 2021 Video Super-Resolution Challenge, in conjunction with CVPR 2021
          cs.CV

          Computer vision & Pattern recognition
          Computer vision & Pattern recognition

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