论文标题
AIM 2020挑战对真实图像超分辨率：方法和结果
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
论文作者
论文摘要
本文介绍了与ECCV 2020结合进行的图像操纵（AIM）研讨会的进步的一部分的真实图像超分辨率（SR）挑战。该挑战涉及三个轨道，分别以$ \ times $ 2，$ \ times $ \ times $ \ times $ 3和$ \ times $ \ times $ \ times $ 4缩放率$ 4级别的$ \ times $ \ times $ \ times $ 4级别级别。目的是吸引对SR任务的现实图像退化的关注，这更为复杂和具有挑战性，并有助于现实世界图像超分辨率应用。 452名参与者总共注册了三个曲目，24个团队提交了他们的结果。他们根据PSNR和SSIM来评估真实图像SR的最新方法。
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This challenge involves three tracks to super-resolve an input image for $\times$2, $\times$3 and $\times$4 scaling factors, respectively. The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications. 452 participants were registered for three tracks in total, and 24 teams submitted their results. They gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.
