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NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results

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Main Authors:	Li, Xin, Jin, Yeying, Jin, Xin, Wu, Zongwei, Li, Bingchen, Wang, Yufei, Yang, Wenhan, Li, Yu, Chen, Zhibo, Wen, Bihan, Tan, Robby T., Timofte, Radu, Rong, Qiyu, Jing, Hongyuan, Zhang, Mengmeng, Li, Jinglong, Lu, Xiangyu, Ren, Yi, Liu, Yuting, Zhang, Meng, Chen, Xiang, Guan, Qiyuan, Dong, Jiangxin, Pan, Jinshan, Gou, Conglin, Yang, Qirui, Zhang, Fangpu, Lin, Yunlong, Chen, Sixiang, Huang, Guoxi, Lin, Ruirui, Zhang, Yan, Yang, Jingyu, Yue, Huanjing, Chen, Jiyuan, Yi, Qiaosi, Wang, Hongjun, Xie, Chenxi, Li, Shuai, Wu, Yuhui, Ma, Kaiyi, Hu, Jiakui, Li, Juncheng, Pan, Liwen, Gao, Guangwei, Li, Wenjie, Jin, Zhenyu, Guo, Heng, Ma, Zhanyu, Wang, Yubo, Wang, Jinghua, Xing, Wangzhi, Karnavar, Anjusree, Chen, Diqi, Islam, Mohammad Aminul, Yang, Hao, Zhang, Ruikun, Pan, Liyuan, Luo, Qianhao, XinCao, Zhou, Han, Min, Yan, Dong, Wei, Chen, Jun, Wu, Taoyi, Dou, Weijia, Wang, Yu, Zhao, Shengjie, Huang, Yongcheng, Han, Xingyu, Huang, Anyan, Wu, Hongtao, Wang, Hong, Zheng, Yefeng, Kumar, Abhijeet, Kumar, Aman, Conde, Marcos V., Garrido, Paula, Feijoo, Daniel, Benito, Juan C., Dong, Guanglu, Lin, Xin, Liu, Siyuan, Zheng, Tianheng, Zhong, Jiayu, Wang, Shouyi, Li, Xiangtai, Guo, Lanqing, Qi, Lu, Ren, Chao, Wang, Shuaibo, Zhang, Shilong, Zhou, Wanyu, Wu, Yunze, Tan, Qinzhong, Pei, Jieyuan, Li, Zhuoxuan, Wang, Jiayu, Bian, Haoyu, Sun, Haoran, Paul, Subhajit, Tang, Ni, Huang, Junhao, Cheng, Zihan, Zhu, Hongyun, Wu, Yuehan, Deng, Kaixin, Ouyang, Hang, Xiao, Tianxin, Yang, Fan, Luo, Zhizun, Xiao, Zeyu, Li, Zhuoyuan, Le, Nguyen Pham Hoang, Thien, An Dinh, Luu, Son T., Van Nguyen, Kiet, Xu, Ronghua, Tian, Xianmin, Zhou, Weijian, Zhang, Jiacheng, Chen, Yuqian, Duan, Yihang, Wu, Yujie, Raikwar, Suresh, Garg, Arsh, Kritika, Zheng, Jianhua, Ma, Xiaoshan, Zhao, Ruolin, Yang, Yongyu, Liang, Yongsheng, Huang, Guiming, Li, Qiang, Zhang, Hongbin, Zheng, Xiangyu, Rajagopalan, A. N.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Image and Video Processing
Online Access:	Acceder al recurso
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author	Li, Xin Jin, Yeying Jin, Xin Wu, Zongwei Li, Bingchen Wang, Yufei Yang, Wenhan Li, Yu Chen, Zhibo Wen, Bihan Tan, Robby T. Timofte, Radu Rong, Qiyu Jing, Hongyuan Zhang, Mengmeng Li, Jinglong Lu, Xiangyu Ren, Yi Liu, Yuting Zhang, Meng Chen, Xiang Guan, Qiyuan Dong, Jiangxin Pan, Jinshan Gou, Conglin Yang, Qirui Zhang, Fangpu Lin, Yunlong Chen, Sixiang Huang, Guoxi Lin, Ruirui Zhang, Yan Yang, Jingyu Yue, Huanjing Chen, Jiyuan Yi, Qiaosi Wang, Hongjun Xie, Chenxi Li, Shuai Wu, Yuhui Ma, Kaiyi Hu, Jiakui Li, Juncheng Pan, Liwen Gao, Guangwei Li, Wenjie Jin, Zhenyu Guo, Heng Ma, Zhanyu Wang, Yubo Wang, Jinghua Xing, Wangzhi Karnavar, Anjusree Chen, Diqi Islam, Mohammad Aminul Yang, Hao Zhang, Ruikun Pan, Liyuan Luo, Qianhao XinCao Zhou, Han Min, Yan Dong, Wei Chen, Jun Wu, Taoyi Dou, Weijia Wang, Yu Zhao, Shengjie Huang, Yongcheng Han, Xingyu Huang, Anyan Wu, Hongtao Wang, Hong Zheng, Yefeng Kumar, Abhijeet Kumar, Aman Conde, Marcos V. Garrido, Paula Feijoo, Daniel Benito, Juan C. Dong, Guanglu Lin, Xin Liu, Siyuan Zheng, Tianheng Zhong, Jiayu Wang, Shouyi Li, Xiangtai Guo, Lanqing Qi, Lu Ren, Chao Wang, Shuaibo Zhang, Shilong Zhou, Wanyu Wu, Yunze Tan, Qinzhong Pei, Jieyuan Li, Zhuoxuan Wang, Jiayu Bian, Haoyu Sun, Haoran Paul, Subhajit Tang, Ni Huang, Junhao Cheng, Zihan Zhu, Hongyun Wu, Yuehan Deng, Kaixin Ouyang, Hang Xiao, Tianxin Yang, Fan Luo, Zhizun Xiao, Zeyu Li, Zhuoyuan Le, Nguyen Pham Hoang Thien, An Dinh Luu, Son T. Van Nguyen, Kiet Xu, Ronghua Tian, Xianmin Zhou, Weijian Zhang, Jiacheng Chen, Yuqian Duan, Yihang Wu, Yujie Raikwar, Suresh Garg, Arsh Kritika Zheng, Jianhua Ma, Xiaoshan Zhao, Ruolin Yang, Yongyu Liang, Yongsheng Huang, Guiming Li, Qiang Zhang, Hongbin Zheng, Xiangyu Rajagopalan, A. N.
author_facet	Li, Xin Jin, Yeying Jin, Xin Wu, Zongwei Li, Bingchen Wang, Yufei Yang, Wenhan Li, Yu Chen, Zhibo Wen, Bihan Tan, Robby T. Timofte, Radu Rong, Qiyu Jing, Hongyuan Zhang, Mengmeng Li, Jinglong Lu, Xiangyu Ren, Yi Liu, Yuting Zhang, Meng Chen, Xiang Guan, Qiyuan Dong, Jiangxin Pan, Jinshan Gou, Conglin Yang, Qirui Zhang, Fangpu Lin, Yunlong Chen, Sixiang Huang, Guoxi Lin, Ruirui Zhang, Yan Yang, Jingyu Yue, Huanjing Chen, Jiyuan Yi, Qiaosi Wang, Hongjun Xie, Chenxi Li, Shuai Wu, Yuhui Ma, Kaiyi Hu, Jiakui Li, Juncheng Pan, Liwen Gao, Guangwei Li, Wenjie Jin, Zhenyu Guo, Heng Ma, Zhanyu Wang, Yubo Wang, Jinghua Xing, Wangzhi Karnavar, Anjusree Chen, Diqi Islam, Mohammad Aminul Yang, Hao Zhang, Ruikun Pan, Liyuan Luo, Qianhao XinCao Zhou, Han Min, Yan Dong, Wei Chen, Jun Wu, Taoyi Dou, Weijia Wang, Yu Zhao, Shengjie Huang, Yongcheng Han, Xingyu Huang, Anyan Wu, Hongtao Wang, Hong Zheng, Yefeng Kumar, Abhijeet Kumar, Aman Conde, Marcos V. Garrido, Paula Feijoo, Daniel Benito, Juan C. Dong, Guanglu Lin, Xin Liu, Siyuan Zheng, Tianheng Zhong, Jiayu Wang, Shouyi Li, Xiangtai Guo, Lanqing Qi, Lu Ren, Chao Wang, Shuaibo Zhang, Shilong Zhou, Wanyu Wu, Yunze Tan, Qinzhong Pei, Jieyuan Li, Zhuoxuan Wang, Jiayu Bian, Haoyu Sun, Haoran Paul, Subhajit Tang, Ni Huang, Junhao Cheng, Zihan Zhu, Hongyun Wu, Yuehan Deng, Kaixin Ouyang, Hang Xiao, Tianxin Yang, Fan Luo, Zhizun Xiao, Zeyu Li, Zhuoyuan Le, Nguyen Pham Hoang Thien, An Dinh Luu, Son T. Van Nguyen, Kiet Xu, Ronghua Tian, Xianmin Zhou, Weijian Zhang, Jiacheng Chen, Yuqian Duan, Yihang Wu, Yujie Raikwar, Suresh Garg, Arsh Kritika Zheng, Jianhua Ma, Xiaoshan Zhao, Ruolin Yang, Yongyu Liang, Yongsheng Huang, Guiming Li, Qiang Zhang, Hongbin Zheng, Xiangyu Rajagopalan, A. N.
contents	This paper reviews the NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images. This challenge received a wide range of impressive solutions, which are developed and evaluated using our collected real-world Raindrop Clarity dataset. Unlike existing deraining datasets, our Raindrop Clarity dataset is more diverse and challenging in degradation types and contents, which includes day raindrop-focused, day background-focused, night raindrop-focused, and night background-focused degradations. This dataset is divided into three subsets for competition: 14,139 images for training, 240 images for validation, and 731 images for testing. The primary objective of this challenge is to establish a new and powerful benchmark for the task of removing raindrops under varying lighting and focus conditions. There are a total of 361 participants in the competition, and 32 teams submitting valid solutions and fact sheets for the final testing phase. These submissions achieved state-of-the-art (SOTA) performance on the Raindrop Clarity dataset. The project can be found at https://lixinustc.github.io/CVPR-NTIRE2025-RainDrop-Competition.github.io/.
format	Preprint
id	arxiv_https___arxiv_org_abs_2504_12711
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results Li, Xin Jin, Yeying Jin, Xin Wu, Zongwei Li, Bingchen Wang, Yufei Yang, Wenhan Li, Yu Chen, Zhibo Wen, Bihan Tan, Robby T. Timofte, Radu Rong, Qiyu Jing, Hongyuan Zhang, Mengmeng Li, Jinglong Lu, Xiangyu Ren, Yi Liu, Yuting Zhang, Meng Chen, Xiang Guan, Qiyuan Dong, Jiangxin Pan, Jinshan Gou, Conglin Yang, Qirui Zhang, Fangpu Lin, Yunlong Chen, Sixiang Huang, Guoxi Lin, Ruirui Zhang, Yan Yang, Jingyu Yue, Huanjing Chen, Jiyuan Yi, Qiaosi Wang, Hongjun Xie, Chenxi Li, Shuai Wu, Yuhui Ma, Kaiyi Hu, Jiakui Li, Juncheng Pan, Liwen Gao, Guangwei Li, Wenjie Jin, Zhenyu Guo, Heng Ma, Zhanyu Wang, Yubo Wang, Jinghua Xing, Wangzhi Karnavar, Anjusree Chen, Diqi Islam, Mohammad Aminul Yang, Hao Zhang, Ruikun Pan, Liyuan Luo, Qianhao XinCao Zhou, Han Min, Yan Dong, Wei Chen, Jun Wu, Taoyi Dou, Weijia Wang, Yu Zhao, Shengjie Huang, Yongcheng Han, Xingyu Huang, Anyan Wu, Hongtao Wang, Hong Zheng, Yefeng Kumar, Abhijeet Kumar, Aman Conde, Marcos V. Garrido, Paula Feijoo, Daniel Benito, Juan C. Dong, Guanglu Lin, Xin Liu, Siyuan Zheng, Tianheng Zhong, Jiayu Wang, Shouyi Li, Xiangtai Guo, Lanqing Qi, Lu Ren, Chao Wang, Shuaibo Zhang, Shilong Zhou, Wanyu Wu, Yunze Tan, Qinzhong Pei, Jieyuan Li, Zhuoxuan Wang, Jiayu Bian, Haoyu Sun, Haoran Paul, Subhajit Tang, Ni Huang, Junhao Cheng, Zihan Zhu, Hongyun Wu, Yuehan Deng, Kaixin Ouyang, Hang Xiao, Tianxin Yang, Fan Luo, Zhizun Xiao, Zeyu Li, Zhuoyuan Le, Nguyen Pham Hoang Thien, An Dinh Luu, Son T. Van Nguyen, Kiet Xu, Ronghua Tian, Xianmin Zhou, Weijian Zhang, Jiacheng Chen, Yuqian Duan, Yihang Wu, Yujie Raikwar, Suresh Garg, Arsh Kritika Zheng, Jianhua Ma, Xiaoshan Zhao, Ruolin Yang, Yongyu Liang, Yongsheng Huang, Guiming Li, Qiang Zhang, Hongbin Zheng, Xiangyu Rajagopalan, A. N. Computer Vision and Pattern Recognition Artificial Intelligence Image and Video Processing This paper reviews the NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images. This challenge received a wide range of impressive solutions, which are developed and evaluated using our collected real-world Raindrop Clarity dataset. Unlike existing deraining datasets, our Raindrop Clarity dataset is more diverse and challenging in degradation types and contents, which includes day raindrop-focused, day background-focused, night raindrop-focused, and night background-focused degradations. This dataset is divided into three subsets for competition: 14,139 images for training, 240 images for validation, and 731 images for testing. The primary objective of this challenge is to establish a new and powerful benchmark for the task of removing raindrops under varying lighting and focus conditions. There are a total of 361 participants in the competition, and 32 teams submitting valid solutions and fact sheets for the final testing phase. These submissions achieved state-of-the-art (SOTA) performance on the Raindrop Clarity dataset. The project can be found at https://lixinustc.github.io/CVPR-NTIRE2025-RainDrop-Competition.github.io/.
title	NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
topic	Computer Vision and Pattern Recognition Artificial Intelligence Image and Video Processing
url	https://arxiv.org/abs/2504.12711