{"paper":{"title":"UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Akashdeep Jassal, Baopu Li, Bingnan Hu, Chengconghui Ma, Dafan Chen, Dahai Yu, Densen Puthussery, Divya Kothandaraman, Haoran Wang, Hrishikesh P S, Huaijin Chen, Jiarong Wang, Jigang Tang, Jiji C V, Joshua Rego, Kaushik Mitra, Kin Wai Lau, Kyle Tolentino, Lai-Man Po, Lianping Xing, Lijiang Fu, Melvin Kuriakose, Michael Kwan, Nagat Abdalla Esiad Rahel, Neil Emerton, Nisarg A. Shah, Qirui Yang, Sabari Nathan, Sehoon Lim, Shanshan Zhao, Shibin Ma, Shichao Nie, Shuai Li, Shuting Yin, Sumanth Hegde, Tao Ku, Tim Large, Tongtong Zhao, Varun Sundar, Yasar Abbas Ur Rehman, Yihao Liu, Yiqun Li, Yuqian Zhou, Zhenhua Hu, Zhihong Pan","submitted_at":"2020-08-18T04:48:39Z","abstract_excerpt":"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 an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.07742","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2008.07742/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}