NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
Abstract
This paper summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of this challenge is to super-resolve a low-resolution stereo image pair to a high-resolution one with a magnification factor of × 4 under a limited computational budget. Compared with single image SR, the major challenge of this challenge lies in how to exploit additional information in another viewpoint and how to maintain stereo consistency in the results. This challenge has 2 tracks, including one track on bicubic degradation and one track on real degradations. In total, 108 and 70 participants were successfully registered for each track, respectively. In the test phase, 14 and 13 teams successfully submitted valid results with PSNR (RGB) scores better than the baseline. This challenge establishes a new benchmark for stereo image SR.
Cite
Text
Wang et al. "NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024. doi:10.1109/CVPRW63382.2024.00624Markdown
[Wang et al. "NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024.](https://mlanthology.org/cvprw/2024/wang2024cvprw-ntire/) doi:10.1109/CVPRW63382.2024.00624BibTeX
@inproceedings{wang2024cvprw-ntire,
title = {{NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results}},
author = {Wang, Longguang and Guo, Yulan and Li, Juncheng and Liu, Hongda and Zhao, Yang and Wang, Yingqian and Jin, Zhi and Gu, Shuhang and Timofte, Radu},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2024},
pages = {6198-6207},
doi = {10.1109/CVPRW63382.2024.00624},
url = {https://mlanthology.org/cvprw/2024/wang2024cvprw-ntire/}
}