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NTIRE 2021 Challenge on Video Super-Resolution

NTIRE 2021 Challenge on Video Super-Resolution

来源:Arxiv_logoArxiv
英文摘要

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.

Kyoung Mu Lee、Seungjun Nah、Radu Timofte、Sanghyun Son、Suyoung Lee

计算技术、计算机技术

Kyoung Mu Lee,Seungjun Nah,Radu Timofte,Sanghyun Son,Suyoung Lee.NTIRE 2021 Challenge on Video Super-Resolution[EB/OL].(2021-04-30)[2025-06-27].https://arxiv.org/abs/2104.14852.点此复制

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