UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
Yuqian Zhou
Michael Kwan
Kyle Tolentino
N. Emerton
Sehoon Lim
T. Large
Li Fu
Zhihong Pan
Baopu Li
Qirui Yang
Yihao Liu
Jigang Tang
Tao Ku
Shiqing Ma
Bingnan Hu
Jiarong Wang
Densen Puthussery
S. HrishikeshP.
M. Kuriakose
C. Jiji
Varun Sundar
Sumanth Hegde
D. Kothandaraman
Kaushik Mitra
Akashdeep Jassal
Nisarg A. Shah
S. Nathan
Nagat Abdalla Esiad Rahel
Dafan Chen
Shichao Nie
Shuting Yin
Chengconghui Ma
Haoran Wang
Tongtong Zhao
Shanshan Zhao
Joshua D. Rego
Huaijin Chen
Shuai Li
Zhenhua Hu
Kin Wai Lau
L. Po
Dahai Yu
Yasar Abbas Ur Rehman
Yiqun Li
Lianping Xing

Abstract
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.
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