ML Anthology

AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results

Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen
ICCVW 2019 pp. 3556-3564
doi:10.1109/ICCVW.2019.00440 /iccvw/2019/gu2019iccvw-aim/

Abstract

This paper reviews the AIM 2019 challenge on extreme image super-resolution, the problem of restoring of rich details in a low resolution image. Compared to previous, this challenge focuses on an extreme upscaling factor, ×16, and employs the novel DIVerse 8K resolution (DIV8K) dataset. This report focuses on the proposed solutions and final results. The challenge had 2 tracks. The goal in Track 1 was to generate a super-resolution result with high fidelity, using the conventional PSNR as the primary metric to evaluate different methods. Track 2 instead focused on generating visually more pleasant super-resolution results, evaluated using subjective opinions. The two tracks had 71 and 52 registered participants, respectively, and 9 teams competed in the final testing phase. This report gauges the experimental protocol and baselines for the extreme image super-resolution task.

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Cite

Text

Gu et al. "AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results." IEEE/CVF International Conference on Computer Vision Workshops, 2019. doi:10.1109/ICCVW.2019.00440

Markdown

[Gu et al. "AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results." IEEE/CVF International Conference on Computer Vision Workshops, 2019.](https://mlanthology.org/iccvw/2019/gu2019iccvw-aim/) doi:10.1109/ICCVW.2019.00440

BibTeX

@inproceedings{gu2019iccvw-aim,
  title     = {{AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results}},
  author    = {Gu, Shuhang and Liu, Hanwen and Zhu, Dan and Xie, Tangxin and Yang, Xin and Zhu, Chen and Yu, Jia and Sun, Wenyu and Tao, Xin and Deng, Zijun and Lu, Liying and Danelljan, Martin and Li, Wenbo and Guo, Taian and Shen, Xiaoyong and Xu, Xuemiao and Tai, Yu-Wing and Jia, Jiaya and Yi, Peng and Wang, Zhongyuan and Jiang, Kui and Jiang, Junjun and Timofte, Radu and Ma, Jiayi and Liu, Zhi-Song and Wang, Li-Wen and Li, Chu-Tak and Siu, Wan-Chi and Chan, Yui-Lam and Zhou, Ruofan and El Helou, Majed and Purohit, Kuldeep and Kandula, Praveen and Haris, Muhammad and Suin, Maitreya and Rajagopalan, A. N. and Akita, Kazutoshi and Shakhnarovich, Greg and Ukita, Norimichi and Michelini, Pablo Navarrete and Chen, Wenbin},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2019},
  pages     = {3556-3564},
  doi       = {10.1109/ICCVW.2019.00440},
  url       = {https://mlanthology.org/iccvw/2019/gu2019iccvw-aim/}
}