Paper Info
Title
AIM 2020 Challenge on Image Extreme Inpainting
Abstract
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 considerably large part of the image using no supervision but the context. Similarly, the goal of track 2 is to inpaint the image by having access to the entire semantic segmentation map of the image to inpaint. 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.
Year
DOI
Venue
2020
10.1007/978-3-030-67070-2_43
ECCV Workshops
Keywords
DocType
Citations 
Extreme image inpainting,Image synthesis,Generative modeling
Conference
0
PageRank 
References 
Authors
0.34
0
47
Name
Order
Citations
PageRank
Evangelos Ntavelis110.68
Andrés Romero293.33
Siavash Arjomand Bigdeli3383.85
Radu Timofte41880118.45
Hui Zheng57315.94
Xiumei Wang624213.40
Xinbo Gao700.34
Chajin Shin800.34
Taeoh Kim900.34
Hanbin Son1000.34
Sangyoun Lee1101.01
Chao Li1200.34
Fu Li1300.34
He, D.143313.67
Shilei Wen157913.59
Er-rui Ding1614229.31
Mengmeng Bai1700.34
Shuchen Li1800.34
Yu Zeng1900.34
Zhe Lin203100134.26
Jimei Yang2101.01
Jianming Zhang2200.34
Eli Shechtman2300.34
Huchuan Lu2401.35
Weijian Zeng2500.34
Haopeng Ni2600.34
Yiyang Cai2700.34
Chenghua Li2800.34
Dejia Xu2900.68
Haoning Wu3000.34
Yu Han3101.35
S. M. Nadim Uddin3200.34
Hae Woong Jang3300.34
Soikat Hasan Ahmed3400.34
Jungmin Yoon3500.34
Yong Ju Jung3601.01
Chu-Tak Li3700.34
Zhi-Song Liu3800.34
Li-Wen Wang3900.34
Wan-Chi Siu4000.34
Daniel Pak-Kong Lun4100.34
Maitreya Suin4200.34
Kuldeep Purohit4300.34
A. N. Rajagopalan4400.34
Pratik Narang4500.34
Murari Mandal4600.34
Pranjal Singh Chauhan4700.34