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 WangKui 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 Ei Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovic, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3556-3564
Number of pages9
ISBN (Electronic)9781728150239
DOIs
Publication statusPublished - 27 Oct 2019
Event17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019 - Seoul, Korea, Republic of
Duration: 27 Oct 201928 Oct 2019

Publication series

NameProceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019

Conference

Conference17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019
CountryKorea, Republic of
CitySeoul
Period27/10/1928/10/19

Keywords

  • Extreme super resolution

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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