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NTIRE 2021 Challenge on Image Deblurring
- Authors
- Nah, Seungjun; Son, Sanghyun; Lee, Suyoung; Timofte, Radu; Lee, Kyoung Mu; Chen, Liangyu; Zhang, Jie; Lu, Xin; Chu, Xiaojie; Chen, Chengpeng; Xiong, Zhiwei; Xu, Ruikang; Xiao, Zeyu; Huang, Jie; Zhang, Yueyi; Xi, Si; Wei, Jia; Bai, Haoran; Cheng, Songsheng; Wei, Hao; Sun, Long; Tang, Jinhui; Pan, Jinshan; Lee, Donghyeon; Lee, Chulhee; Kim, Taesung; Wang, Xiaobing; Zhang, Dafeng; Pan, Zhihong; Lin, Tianwei; Wu, Wenhao; He, Dongliang; Li, Baopu; Li, Boyun; Xi, Teng; Zhang, Gang; Liu, Jingtuo; Han, Junyu; Ding, Errui; Tao, Guangpin; Chu, Wenqing; Cao, Yun; Luo, Donghao; Tai, Ying; Lu, Tong; Wang, Chengjie; Li, Jilin; Huang, Feiyue; Chen, Hanting; Chen, Shuaijun; Guo, Tianyu; Wang, Yunhe; Zamir, Syed Waqas; Arora, Aditya; Khan, Salman; Hayat, Munawar; Khan, Fahad Shahbaz; Shao, Ling; Zuo, Yushen; Ou, Yimin; Chai, Yuanjun; Shi, Lei; Liu, Shuai; Lei, Lei; Feng, Chaoyu; Zeng, Kai; Yao, Yuying; Liu, Xinran; Zhang, Zhizhou; Huang, Huacheng; Zhang, Yunchen; Jiang, Mingchao; Zou, Wenbin; Miao, Si; Kim, Yangwoo; Sun, Yuejin; Deng, Senyou; Ren, Wenqi; Cao, Xiaochun; Wang, Tao; Suin, Maitreya; Rajagopalan, A. N.; Vinh Van Duong; Thuc Huu Nguyen; Yim, Jonghoon; Jeon, Byeungwoo; Li, Ru; Xie, Junwei; Han, Jong-Wook; Choi, Jun-Ho; Kim, Jun-Hyuk; Lee, Jong-Seok; Zhang, Jiaxin; Peng, Fan; Svitov, David; Pakulich, Dmitry; Kim, Jaeyeob; Jeong, Jechang
- Issue Date
- Jun-2021
- Publisher
- IEEE COMPUTER SOC
- Citation
- 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGITION WORKSHOPS (CVPRW 2021), pp.149 - 165
- Indexed
- SCIE
SCOPUS
- Journal Title
- 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGITION WORKSHOPS (CVPRW 2021)
- Start Page
- 149
- End Page
- 165
- ISSN
- 2160-7508
- Abstract
- Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on Image Deblurring. In this challenge report, we describe the challenge specifics and the evaluation results from the 2 competition tracks with the proposed solutions. While both the tracks aim to recover a high-quality clean image from a blurry image, different artifacts are jointly involved. In track 1, the blurry images are in a low resolution while track 2 images are compressed in JPEG format. In each competition, there were 338 and 238 registered participants and in the final testing phase, 18 and 17 teams competed. The winning methods demonstrate the state-of-the-art performance on the image deblurring task with the jointly combined artifacts.
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Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
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Related Researcher
- Jeong, Jechang
- COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)