Technique Report of CVPR 2024 PBDL Challenges
Abstract
The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to inform and enhance deep learning models, we can develop more robust and accurate vision systems. Physics-based vision aims to invert the processes to recover scene properties such as shape, reflectance, light distribution, and medium properties from images. In recent years, deep learning has shown promising improvements for various vision tasks, and when combined with physics-based vision, these approaches can enhance the robustness and accuracy of vision systems. This technical report summarizes the outcomes of the Physics-Based Vision Meets Deep Learning (PBDL) 2024 challenge, held in CVPR 2024 workshop. The challenge consisted of eight tracks, focusing on Low-Light Enhancement and Detection as well as High Dynamic Range (HDR) Imaging. This report details the objectives, methodologies, and results of each track, highlighting the top-performing solutions and their innovative approaches.
Keywords
Cite
@article{arxiv.2406.10744,
title = {Technique Report of CVPR 2024 PBDL Challenges},
author = {Ying Fu and Yu Li and Shaodi You and Boxin Shi and Linwei Chen and Yunhao Zou and Zichun Wang and Yichen Li and Yuze Han and Yingkai Zhang and Jianan Wang and Qinglin Liu and Wei Yu and Xiaoqian Lv and Jianing Li and Shengping Zhang and Xiangyang Ji and Yuanpei Chen and Yuhan Zhang and Weihang Peng and Liwen Zhang and Zhe Xu and Dingyong Gou and Cong Li and Senyan Xu and Yunkang Zhang and Siyuan Jiang and Xiaoqiang Lu and Licheng Jiao and Fang Liu and Xu Liu and Lingling Li and Wenping Ma and Shuyuan Yang and Haiyang Xie and Jian Zhao and Shihua Huang and Peng Cheng and Xi Shen and Zheng Wang and Shuai An and Caizhi Zhu and Xuelong Li and Tao Zhang and Liang Li and Yu Liu and Chenggang Yan and Gengchen Zhang and Linyan Jiang and Bingyi Song and Zhuoyu An and Haibo Lei and Qing Luo and Jie Song and Yuan Liu and Qihang Li and Haoyuan Zhang and Lingfeng Wang and Wei Chen and Aling Luo and Cheng Li and Jun Cao and Shu Chen and Zifei Dou and Xinyu Liu and Jing Zhang and Kexin Zhang and Yuting Yang and Xuejian Gou and Qinliang Wang and Yang Liu and Shizhan Zhao and Yanzhao Zhang and Libo Yan and Yuwei Guo and Guoxin Li and Qiong Gao and Chenyue Che and Long Sun and Xiang Chen and Hao Li and Jinshan Pan and Chuanlong Xie and Hongming Chen and Mingrui Li and Tianchen Deng and Jingwei Huang and Yufeng Li and Fei Wan and Bingxin Xu and Jian Cheng and Hongzhe Liu and Cheng Xu and Yuxiang Zou and Weiguo Pan and Songyin Dai and Sen Jia and Junpei Zhang and Puhua Chen and Qihang Li},
journal= {arXiv preprint arXiv:2406.10744},
year = {2024}
}
Comments
CVPR 2024 PBDL Challenges: https://pbdl-ws.github.io/pbdl2024/challenge/index.html