AIM 2020 Challenge on Image Extreme Inpainting

Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe LinJimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, Uddin S.M. Nadim, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu Tak Li, Zhi Song Liu, Li Wen Wang, Wan Chi Siu, Daniel P.K. Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal, Pranjal Singh Chauhan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

13 Citations (Scopus)


This paper reviews the AIM 2020 challenge on extreme image inpainting. This report focuses on proposed solutions and results for two different tracks on extreme image inpainting: classical image inpainting and semantically guided image inpainting. The goal of track 1 is to inpaint large part of the image with no supervision. Similarly, the goal of track 2 is to inpaint the image by having access to the entire semantic segmentation map of the input. The challenge had 88 and 74 participants, respectively. 11 and 6 teams competed in the final phase of the challenge, respectively. This report gauges current solutions and set a benchmark for future extreme image inpainting methods.

Original languageEnglish
Title of host publicationComputer Vision – ECCV 2020 Workshops, Proceedings
EditorsAdrien Bartoli, Andrea Fusiello
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages26
ISBN (Print)9783030670696
Publication statusPublished - Jan 2021
EventWorkshops held at the 16th European Conference on Computer Vision, ECCV 2020 - Glasgow, United Kingdom
Duration: 23 Aug 202028 Aug 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12537 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceWorkshops held at the 16th European Conference on Computer Vision, ECCV 2020
Country/TerritoryUnited Kingdom


  • Extreme image inpainting
  • Generative modeling
  • Image synthesis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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