English

NTIRE 2021 Challenge on Video Super-Resolution

Computer Vision and Pattern Recognition 2021-05-11 v2

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.

Keywords

Cite

@article{arxiv.2104.14852,
  title  = {NTIRE 2021 Challenge on Video Super-Resolution},
  author = {Sanghyun Son and Suyoung Lee and Seungjun Nah and Radu Timofte and Kyoung Mu Lee},
  journal= {arXiv preprint arXiv:2104.14852},
  year   = {2021}
}

Comments

An official report for NTIRE 2021 Video Super-Resolution Challenge, in conjunction with CVPR 2021

R2 v1 2026-06-24T01:39:49.329Z