Author
Kınlı, Osman Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Mustafa Furkan
Publication Date
2023
Publication Place
-
Springer
Subject
Filter removal, Image restoration, Image-to-image translation
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-303125065-1
Record ID
fdc5babf-b7d2-48d9-9e74-eee1e8b0d468
Library Location
Computer Science
Date
2023
Notes
Eidgenössische Technische Hochschule Zürich ; Julius-Maximilians-Universität Würzburg
Sample Text
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.
DOI
10.1007/978-3-031-25066-8_2
Cilt
13803 LNCS
