NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results
Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li and, Shuhang Gu, Radu Timofte

TL;DR
This paper summarizes the NTIRE 2022 challenge on stereo image super-resolution, highlighting new methods, results, and establishing a benchmark with 21 competing teams and improved PSNR scores.
Contribution
It introduces a new benchmark for stereo image super-resolution and reports on the methods and results from the challenge.
Findings
20 teams outperformed the baseline in PSNR scores
238 participants registered for the challenge
The challenge established a new standard benchmark for stereo SR
Abstract
In this paper, we summarize the 1st NTIRE challenge on stereo image super-resolution (restoration of rich details in a pair of low-resolution stereo images) with a focus on new solutions and results. This challenge has 1 track aiming at the stereo image super-resolution problem under a standard bicubic degradation. In total, 238 participants were successfully registered, and 21 teams competed in the final testing phase. Among those participants, 20 teams successfully submitted results with PSNR (RGB) scores better than the baseline. This challenge establishes a new benchmark for stereo image SR.
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Taxonomy
TopicsAdvanced Image Processing Techniques · Image Processing Techniques and Applications · Advanced Optical Sensing Technologies
