论文标题
NTIRE 2022立体声图像超分辨率的挑战：方法和结果
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results
论文作者
论文摘要
在本文中，我们总结了立体声图像超分辨率（在一对低分辨率立体声图像中恢复丰富细节的恢复）上的第一次Ntire挑战），重点是新的解决方案和结果。这项挑战具有1个轨道，目的是在标准的双音调降解下针对立体图像超分辨率问题。总共成功注册了238名参与者，21个团队参加了最后的测试阶段。在这些参与者中，有20个团队成功地提交了PSNR（RGB）的成绩，比基准更好。这项挑战为立体声映像SR建立了新的基准。
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.
