AIM 2022 challenge on instagram filter removal: Methods and results

Name: AIM 2022 challenge on instagram filter removal: Methods and results
Author: Kınlı, Osman Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Mustafa Furkan

İsim	AIM 2022 challenge on instagram filter removal: Methods and results
Yazar	Kınlı, Osman Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Mustafa Furkan
Basım Tarihi:	2023
Basım Yeri	- Springer
Konu	Filter removal, Image restoration, Image-to-image translation
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-303125065-1
Kayıt Numarası	fdc5babf-b7d2-48d9-9e74-eee1e8b0d468
Lokasyon	Computer Science
Tarih	2023
Notlar	Eidgenössische Technische Hochschule Zürich ; Julius-Maximilians-Universität Würzburg
Örnek Metin	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

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AIM 2022 challenge on instagram filter removal: Methods and results

Yazar Kınlı, Osman Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Mustafa Furkan

Basım Tarihi 2023

Basım Yeri - Springer

Konu Filter removal, Image restoration, Image-to-image translation

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-303125065-1

Kayıt Numarası fdc5babf-b7d2-48d9-9e74-eee1e8b0d468

Lokasyon Computer Science

Tarih 2023

Notlar Eidgenössische Technische Hochschule Zürich ; Julius-Maximilians-Universität Würzburg

Örnek Metin 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