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[bibtex]@InProceedings{Wang_2024_CVPR, 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}, title = {NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6198-6207} }
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 x4 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.
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