This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compressed image, and Track~2 targets the super-resolution of compressed video. In Track 1, we use the popular dataset DIV2K as the training, validation and test sets. In Track 2, we propose the LDV 3.0 dataset, which contains 365 videos, including the LDV 2.0 dataset (335 videos) and 30 additional videos. In this challenge, there are 12 teams and 2 teams that submitted the final results to Track 1 and Track 2, respectively. The proposed methods and solutions gauge the state-of-the-art of super-resolution on compressed image and video. The proposed LDV 3.0 dataset is available at https://github.com/RenYang-home/LDV_dataset. The homepage of this challenge is at https://github.com/RenYang-home/AIM22_CompressSR.
翻译：本文回顾了AIM 2022年压缩图像和视频的超分辨率挑战。 这一挑战包括两个轨道。 第1轨的目标是压缩图像的超分辨率,第2轨目标是压缩视频的超分辨率。 在第1轨中,我们使用流行数据集DIV2K作为培训、验证和测试组。 在第2轨中,我们提议使用LDV 3.0数据集,其中包含365个视频,包括LDV 2.0数据集(335个视频)和另外30个视频。在这项挑战中,有12个团队和2个团队分别向第1轨和第2轨提交了最后结果。提议的方法和解决方案测量压缩图像和视频上超分辨率的最新状态。提议的LDV 3.0数据集可在https://github.com/RenYang-home/LDV_dataset查阅。 挑战的首页是https://github.com/RenYang-home/AIM22_CompressSR。
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