This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-collected database of Under-Display Camera. The challenge tracks correspond to two types of display: a 4k Transparent OLED (T-OLED) and a phone Pentile OLED (P-OLED). Along with about 150 teams registered the challenge, eight and nine teams submitted the results during the testing phase for each track. The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration. Datasets and paper are available at https://yzhouas.github.io/projects/UDC/udc.html.
@article{arxiv.2008.07742,
title = {UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results},
author = {Yuqian Zhou and Michael Kwan and Kyle Tolentino and Neil Emerton and Sehoon Lim and Tim Large and Lijiang Fu and Zhihong Pan and Baopu Li and Qirui Yang and Yihao Liu and Jigang Tang and Tao Ku and Shibin Ma and Bingnan Hu and Jiarong Wang and Densen Puthussery and Hrishikesh P S and Melvin Kuriakose and Jiji C and Varun Sundar and Sumanth Hegde and Divya Kothandaraman and Kaushik Mitra and Akashdeep Jassal and Nisarg A. Shah and Sabari Nathan and Nagat Abdalla Esiad Rahel and Dafan Chen and Shichao Nie and Shuting Yin and Chengconghui Ma and Haoran Wang and Tongtong Zhao and Shanshan Zhao and Joshua Rego and Huaijin Chen and Shuai Li and Zhenhua Hu and Kin Wai Lau and Lai-Man Po and Dahai Yu and Yasar Abbas Ur Rehman and Yiqun Li and Lianping Xing},
journal= {arXiv preprint arXiv:2008.07742},
year = {2020}
}