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.
|Title of host publication||Computer Vision – ECCV 2020 Workshops, Proceedings|
|Editors||Adrien Bartoli, Andrea Fusiello|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||26|
|Publication status||Published - 2020|
|Event||Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 - Glasgow, United Kingdom|
Duration: 2020 Aug 23 → 2020 Aug 28
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||Workshops held at the 16th European Conference on Computer Vision, ECCV 2020|
|Period||20/8/23 → 20/8/28|
Bibliographical notePublisher Copyright:
© 2020, Springer Nature Switzerland AG.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)