This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnification factor x4 based on a set of prior examples of low and corresponding high resolution images. The goal is to devise a network that reduces one or several aspects such as runtime, parameter count, FLOPs, activations, and memory consumption while at least maintaining PSNR of MSRResNet. The track had 150 registered participants, and 25 teams submitted the final results. They gauge the state-of-the-art in efficient single image super-resolution.

翻译：本文回顾了AIM 2020关于高效单一图像超分辨率的挑战,重点是拟议的解决方案和结果。挑战的任务是根据一套以前低和相应的高分辨率图像实例,以放大因子x4为基础,以超级解析一个具有放大因子的输入图像。目的是设计一个网络,减少运行时间、参数计数、FLOPs、激活和记忆消耗等一个或几个方面,同时至少保持MSRResNet的 PSNR。轨道有150名注册参与者,25个团队提交了最终结果。他们用高效的单一图像超分辨率测量了最新技术。