AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
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 .
Cite
Text
Yang et al. "AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results." European Conference on Computer Vision Workshops, 2022. doi:10.1007/978-3-031-25066-8_8Markdown
[Yang et al. "AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results." European Conference on Computer Vision Workshops, 2022.](https://mlanthology.org/eccvw/2022/yang2022eccvw-aim/) doi:10.1007/978-3-031-25066-8_8BibTeX
@inproceedings{yang2022eccvw-aim,
title = {{AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results}},
author = {Yang, Ren and Timofte, Radu and Li, Xin and Zhang, Qi and Zhang, Lin and Liu, Fanglong and He, Dongliang and Li, Fu and Zheng, He and Yuan, Weihang and Ostyakov, Pavel and Vyal, Dmitry and Zhussip, Magauiya and Zou, Xueyi and Yan, Youliang and Li, Lei and Tang, Jingzhu and Chen, Ming and Zhao, Shijie and Zhu, Yu and Qin, Xiaoran and Li, Chenghua and Leng, Cong and Cheng, Jian and Rota, Claudio and Buzzelli, Marco and Bianco, Simone and Schettini, Raimondo and Zhang, Dafeng and Huang, Feiyu and Liu, Shizhuo and Wang, Xiaobing and Jin, Zhezhu and Li, Bingchen and Li, Xin and Li, Mingxi and Liu, Ding and Zou, Wenbin and Dong, Peijie and Ye, Tian and Zhang, Yunchen and Tan, Ming and Niu, Xin and Ayazoglu, Mustafa and Conde, Marcos V. and Choi, Ui-Jin and Jia, Zhuang and Xu, Tianyu and Zhang, Yijian and Ye, Mao and Luo, Dengyan and Pan, Xiaofeng and Peng, Liuhan},
booktitle = {European Conference on Computer Vision Workshops},
year = {2022},
pages = {174-202},
doi = {10.1007/978-3-031-25066-8_8},
url = {https://mlanthology.org/eccvw/2022/yang2022eccvw-aim/}
}