NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0

Abstract


This paper reviewed the 3rd NTIRE challenge on single-image super-resolution (restoration of rich details in a low-resolution image) with a focus on proposed solutions and results. The challenge had 1 track, which was aimed at the real-world single image super-resolution problem with an unknown scaling factor. Participants were mapping low-resolution images captured by a DSLR camera with a shorter focal length to their high-resolution images captured at a longer focal length. With this challenge, we introduced a novel real-world super-resolution dataset (RealSR). The track had 403 registered participants, and 36 teams competed in the final testing phase. They gauge the state-of-the-art in real-world single image super-resolution.

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[bibtex]
@InProceedings{Cai_2019_CVPR_Workshops,
author = {Cai, Jianrui and Gu, Shuhang and Timofte, Radu and Zhang, Lei},
title = {NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}