AIM 2022 Challenge on Super-Resolution of Compressed Image and Video:
Dataset, Methods and Results
- URL: http://arxiv.org/abs/2208.11184v2
- Date: Thu, 25 Aug 2022 14:44:53 GMT
- Title: AIM 2022 Challenge on Super-Resolution of Compressed Image and Video:
Dataset, Methods and Results
- Authors: Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu,
Dongliang He, Fu li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal,
Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen,
Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio
Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu
Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi
Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin
Niu, Mustafa Ayazoglu, Marcos Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu,
Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, and Liuhan Peng
- Abstract summary: This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022.
The proposed methods and solutions gauge the state-of-the-art of super-resolution on compressed image and video.
- Score: 110.91485363392167
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: 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.
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