تقرير
MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results
| العنوان: | MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results |
|---|---|
| المؤلفون: | Dai, Yuekun, Zhang, Dafeng, Li, Xiaoming, Yue, Zongsheng, Li, Chongyi, Zhou, Shangchen, Feng, Ruicheng, Yang, Peiqing, Jin, Zhezhu, Liu, Guanqun, Loy, Chen Change, Zhang, Lize, Liu, Shuai, Feng, Chaoyu, Wang, Luyang, Chen, Shuan, Shao, Guangqi, Wang, Xiaotao, Lei, Lei, Yang, Qirui, Cheng, Qihua, Xu, Zhiqiang, Liu, Yihao, Yue, Huanjing, Yang, Jingyu, Vasluianu, Florin-Alexandru, Wu, Zongwei, Ciubotariu, George, Timofte, Radu, Zhang, Zhao, Zhao, Suiyi, Wang, Bo, Zuo, Zhichao, Wei, Yanyan, Teja, Kuppa Sai Sri, A, Jayakar Reddy, Rongali, Girish, Mitra, Kaushik, Ma, Zhihao, Liu, Yongxu, Zhang, Wanying, Shang, Wei, He, Yuhong, Peng, Long, Yu, Zhongxin, Luo, Shaofei, Wang, Jian, Miao, Yuqi, Li, Baiang, Wei, Gang, Verma, Rakshank, Maheshwari, Ritik, Tekchandani, Rahul, Hambarde, Praful, Tazi, Satya Narayan, Vipparthi, Santosh Kumar, Murala, Subrahmanyam, Zhang, Haopeng, Hou, Yingli, Yao, Mingde, S, Levin M, Sundararajan, Aniruth, A, Hari Kumar |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems. However, the scarcity of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). Building on the achievements of the previous MIPI Workshops held at ECCV 2022 and CVPR 2023, we introduce our third MIPI challenge including three tracks focusing on novel image sensors and imaging algorithms. In this paper, we summarize and review the Nighttime Flare Removal track on MIPI 2024. In total, 170 participants were successfully registered, and 14 teams submitted results in the final testing phase. The developed solutions in this challenge achieved state-of-the-art performance on Nighttime Flare Removal. More details of this challenge and the link to the dataset can be found at https://mipi-challenge.org/MIPI2024/. Comment: CVPR 2024 Mobile Intelligent Photography and Imaging (MIPI) Workshop--Nighttime Flare Removal Challenge Report. Website: https://mipi-challenge.org/MIPI2024/ |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2404.19534 |
| رقم الأكسشن: | edsarx.2404.19534 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |