  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.
