AIM 2019 challenge on real-world image super-resolution: Methods and results

Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih Chung Hsu, Chia Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo GaoSefi Bell-Kligler

研究成果: Conference contribution

31 引文 斯高帕斯(Scopus)

摘要

This paper reviews the AIM 2019 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting, where paired true high and low-resolution images are unavailable. For training, only one set of source input images is therefore provided in the challenge. In Track 1: Source Domain the aim is to super-resolve such images while preserving the low level image characteristics of the source input domain. In Track 2: Target Domain a set of high-quality images is also provided for training, that defines the output domain and desired quality of the super-resolved images. To allow for quantitative evaluation, the source input images in both tracks are constructed using artificial, but realistic, image degradations. The challenge is the first of its kind, aiming to advance the state-of-the-art and provide a standard benchmark for this newly emerging task. In total 7 teams competed in the final testing phase, demonstrating new and innovative solutions to the problem.

原文English
主出版物標題Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面3575-3583
頁數9
ISBN(電子)9781728150239
DOIs
出版狀態Published - 2019 十月
事件17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019 - Seoul, Korea, Republic of
持續時間: 2019 十月 272019 十月 28

出版系列

名字Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019

Conference

Conference17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019
國家/地區Korea, Republic of
城市Seoul
期間19-10-2719-10-28

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 電腦視覺和模式識別

指紋

深入研究「AIM 2019 challenge on real-world image super-resolution: Methods and results」主題。共同形成了獨特的指紋。

引用此