학술논문
NTIRE 2023 Image Shadow Removal Challenge Report
Document Type
Conference
Author
Vasluianu, Florin-Alexandru; Seizinger, Tim; Timofte, Radu; Cui, Shuhao; Huang, Junshi; Tian, Shuman; Fan, Mingyuan; Zhang, Jiaqi; Zhu, Li; Wei, Xiaoming; Wei, Xiaolin; Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng; Sjolund, Jens; Schon, Thomas B.; Dong, Xiaoyi; Zhang, Xi Sheryl; Li, Chenghua; Leng, Cong; Yeo, Woon-Ha; Oh, Wang-Taek; Lee, Yeo-Reum; Ryu, Han-Cheol; Luo, Jinting; Jiang, Chengzhi; Han, Mingyan; Wu, Qi; Lin, Wenjie; Yu, Lei; Li, Xinpeng; Jiang, Ting; Fan, Haoqiang; Liu, Shuaicheng; Xu, Shuning; Song, Binbin; Chen, Xiangyu; Zhang, Shile; Zhou, Jiantao; Zhang, Zhao; Zhao, Suiyi; Zheng, Huan; Gao, Yangcheng; Wei, Yanyan; Wang, Bo; Ren, Jiahuan; Luo, Yan; Kondo, Yuki; Miyata, Riku; Yasue, Fuma; Naruki, Taito; Ukita, Norimichi; Chang, Hua-En; Yang, Hao-Hsiang; Chen, Yi-Chung; Chiang, Yuan-Chun; Huang, Zhi-Kai; Chen, Wei-Ting; Chen, I-Hsiang; Hsieh, Chia-Hsuan; Kuo, Sy-Yen; Xianwei, Li; Fu, Huiyuan; Liu, Chunlin; Ma, Huadong; Fu, Binglan; He, Huiming; Wang, Mengjia; She, Wenxuan; Liu, Yu; Nathan, Sabari; Kansal, Priya; Zhang, Zhongjian; Yang, Huabin; Wang, Yan; Zhang, Yanru; Phutke, Shruti S.; Kulkarni, Ashutosh; Khan, MD Raqib; Murala, Subrahmanyam; Vipparthi, Santosh Kumar; Ye, Heng; Liu, Zixi; Yang, Xingyi; Liu, Songhua; Wu, Yinwei; Jing, Yongcheng; Yu, Qianhao; Zheng, Naishan; Huang, Jie; Long, Yuhang; Yao, Mingde; Zhao, Feng; Zhao, Bowen; Ye, Nan; Shen, Ning; Cao, Yanpeng; Xiong, Tong; Xia, Weiran; Li, Dingwen; Xia, Shuchen
Source
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 IEEE/CVF Conference on. :1788-1807 Jun, 2023
Subject
Language
ISSN
2160-7516
Abstract
This work reviews the results of the NTIRE 2023 Challenge on Image Shadow Removal. The described set of solutions were proposed for a novel dataset, which captures a wide range of object-light interactions. It consists of 1200 roughly pixel aligned pairs of real shadow free and shadow affected images, captured in a controlled environment. The data was captured in a white-box setup, using professional equipment for lights and data acquisition sensors. The challenge had a number of 144 participants registered, out of which 19 teams were compared in the final ranking. The proposed solutions extend the work on shadow removal, improving over the performance level describing state-of-the-art methods.