This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations, and the feature maps of the original content may be interpolated into a different domain. This reduces the overall performance of the recent deep learning strategies. The main goal of this challenge is to produce realistic and visually plausible images where the impact of the filters applied is mitigated while preserving the content. The proposed solutions are ranked in terms of the PSNR value with respect to the original images. There are two prior studies on this task as the baseline, and a total of 9 teams have competed in the final phase of the challenge. The comparison of qualitative results of the proposed solutions and the benchmark for the challenge are presented in this report.
翻译:本文件介绍AIM 2022关于Instagram过滤器清除的挑战的方法和结果;社交媒体过滤器通过连续的非线性操作将图像转换为连续的非线性操作,原始内容的特征图可被插入到不同的领域;这降低了最近深层学习战略的总体表现;这项挑战的主要目标是产生现实和看得见的图像,其中应用的过滤器的影响在保留内容的同时得到减轻;提议的解决方案按原始图像的PSNR值排列;先前有两项关于这项任务的研究作为基准,共有9个小组在挑战的最后阶段进行了竞争;对拟议解决方案的质量结果和挑战基准的比较载于本报告。