NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results
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DOI:
10.1109/cvprw59228.2023.00141
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发表时间:
2023-06
期刊:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
影响因子:
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通讯作者:
Longguang Wang;Yulan Guo;Yingqian Wang;Juncheng Li;Shuhang Gu;R. Timofte;M. Cheng;Haoyu Ma
Longguang Wang;Yulan Guo;Yingqian Wang;Juncheng Li;Shuhang Gu;R. Timofte;M. Cheng;Haoyu Ma
中科院分区:
其他
文献类型:
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作者:
Longguang Wang;Yulan Guo;Yingqian Wang;Juncheng Li;Shuhang Gu;R. Timofte;M. Cheng;Haoyu Ma

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本文总结了第二届NTIRE立体图像超分辨率(SR)挑战,重点是新的解决方案和结果。挑战的任务是将低分辨率的立体图像对超分辨率为放大倍数为×4的高分辨率图像。与单幅图像的立体重建相比,该挑战的主要挑战在于如何利用另一视点的附加信息以及如何保持结果的立体一致性。这个挑战有3个轨道,包括一个关于失真的轨道(例如,PSNR)和双三次退化,一个轨道上的感知质量(例如,LPIPS)和双三次退化,以及另一条关于真实的退化的赛道。分别有175名、93名和103名参与者成功注册了每个轨道。在测试阶段,分别有21、17和12个团队成功提交了PSNR(RGB)分数优于基线的结果。这一挑战为立体图像SR建立了新的基准。
This paper summarizes the 2nd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of the challenge is to super-resolve a low-resolution stereo image pair to a high-resolution one with a magnification factor of ×4. 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 3 tracks, including one track on distortion (e.g., PSNR) and bicubic degradation, one track on perceptual quality (e.g., LPIPS) and bicubic degradation, as well as another track on real degradations. In total, 175, 93, and 103 participants were successfully registered for each track, respectively. In the test phase, 21, 17, and 12 teams successfully submitted results with PSNR (RGB) scores better than the baseline. This challenge establishes a new benchmark for stereo image SR.