NTIRE 2022 Challenge on Learning the Super-Resolution Space
Abstract
This paper reviews the NTIRE 2022 challenge on learning the super-Resolution space. This challenge aims to raise awareness that the super-resolution problem is ill-posed. Since many high-resolution images map to the same low-resolution image, we asked the participants to create methods that sample diverse super-resolution from the space of possible high-resolution images given a low-resolution image. For evaluation, we use the same protocol as introduced in the last year’s super-resolution space challenge of NTIRE 2021. We compare the submissions of the participating teams and relate them to the approaches from last year. This challenge contains two tracks: 4× and 8× scale factor. In total, 3 teams competed in the final testing phase.
Cite
Text
Lugmayr et al. "NTIRE 2022 Challenge on Learning the Super-Resolution Space." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022. doi:10.1109/CVPRW56347.2022.00094Markdown
[Lugmayr et al. "NTIRE 2022 Challenge on Learning the Super-Resolution Space." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022.](https://mlanthology.org/cvprw/2022/lugmayr2022cvprw-ntire/) doi:10.1109/CVPRW56347.2022.00094BibTeX
@inproceedings{lugmayr2022cvprw-ntire,
title = {{NTIRE 2022 Challenge on Learning the Super-Resolution Space}},
author = {Lugmayr, Andreas and Danelljan, Martin and Timofte, Radu and Kim, Kang-wook and Kim, Younggeun and Lee, Jae-Young and Li, Zechao and Pan, Jinshan and Shim, Dongseok and Song, Ki-Ung and Tang, Jinhui and Wang, Cong and Zhao, Zhihao},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2022},
pages = {785-796},
doi = {10.1109/CVPRW56347.2022.00094},
url = {https://mlanthology.org/cvprw/2022/lugmayr2022cvprw-ntire/}
}