AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results
Abstract
This paper reviews the AIM 2019 challenge on constrained example-based single image super-resolution with focus on proposed solutions and results. The challenge had 3 tracks. Taking the three main aspects (i.e., number of parameters, inference/running time, fidelity (PSNR)) of MSRResNet as the baseline, Track 1 aims to reduce the amount of parameters while being constrained to maintain or improve the running time and the PSNR result, Tracks 2 and 3 aim to optimize running time and PSNR result with constrain of the other two aspects, respectively. Each track had an average of 64 registered participants, and 12 teams submitted the final results. They gauge the state-of-the-art in single image super-resolution.
Cite
Text
Zhang et al. "AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results." IEEE/CVF International Conference on Computer Vision Workshops, 2019. doi:10.1109/ICCVW.2019.00441Markdown
[Zhang et al. "AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results." IEEE/CVF International Conference on Computer Vision Workshops, 2019.](https://mlanthology.org/iccvw/2019/zhang2019iccvw-aim/) doi:10.1109/ICCVW.2019.00441BibTeX
@inproceedings{zhang2019iccvw-aim,
title = {{AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results}},
author = {Zhang, Kai and Nan, Nan and Li, Chenghua and Zou, Xueyi and Kang, Ning and Wang, Zhan and Xu, Hang and Wang, Chaofeng and Li, Zheng and Wang, Linlin and Shi, Jun and Gu, Shuhang and Sun, Wenyu and Lang, Zhiqiang and Nie, Jiangtao and Wei, Wei and Zhang, Lei and Niu, Yazhe and Zhuo, Peijin and Kong, Xiangzhen and Sun, Long and Wang, Wenhao and Timofte, Radu and Hui, Zheng and Wang, Xiumei and Gao, Xinbo and Xiong, Dongliang and Liu, Shuai and Gang, Ruipeng},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2019},
pages = {3565-3574},
doi = {10.1109/ICCVW.2019.00441},
url = {https://mlanthology.org/iccvw/2019/zhang2019iccvw-aim/}
}