Kınlı, Osman FurkanMenteş, SamiÖzcan, BarışKıraç, Mustafa Furkan2024-01-242024-01-242023978-303125065-10302-9743http://hdl.handle.net/10679/9091https://doi.org/10.1007/978-3-031-25066-8_2This 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.engrestrictedAccessconferenceObject13803 LNCS274310.1007/978-3-031-25066-8_2Filter removalImage restorationImage-to-image translation2-s2.0-85151163050