UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods
and Results
- URL: http://arxiv.org/abs/2008.07742v1
- Date: Tue, 18 Aug 2020 04:48:39 GMT
- Title: UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods
and Results
- Authors: Yuqian Zhou, Michael Kwan, Kyle Tolentino, Neil Emerton, Sehoon Lim,
Tim Large, Lijiang Fu, Zhihong Pan, Baopu Li, Qirui Yang, Yihao Liu, Jigang
Tang, Tao Ku, Shibin Ma, Bingnan Hu, Jiarong Wang, Densen Puthussery,
Hrishikesh P S, Melvin Kuriakose, Jiji C V, Varun Sundar, Sumanth Hegde,
Divya Kothandaraman, Kaushik Mitra, Akashdeep Jassal, Nisarg A. Shah, Sabari
Nathan, Nagat Abdalla Esiad Rahel, Dafan Chen, Shichao Nie, Shuting Yin,
Chengconghui Ma, Haoran Wang, Tongtong Zhao, Shanshan Zhao, Joshua Rego,
Huaijin Chen, Shuai Li, Zhenhua Hu, Kin Wai Lau, Lai-Man Po, Dahai Yu, Yasar
Abbas Ur Rehman, Yiqun Li, Lianping Xing
- Abstract summary: 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.
Along with about 150 teams registered the challenge, eight and nine teams submitted the results during the testing phase for each track.
- Score: 62.93508251552535
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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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