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    • Two-stage dual-branch model for 3D point cloud denoising

    • Related research has made new progress in the field of 3D point cloud denoising. Experts have proposed a two-stage dual branch model, which effectively solves the problem of integrating local and global feature extraction of point cloud data, significantly improves denoising effectiveness, and provides strong support for related applications.
    • Vol. 31, Issue 1, Pages: 261-272(2026)   

      Received:07 March 2025

      Revised:2025-05-05

      Accepted:15 May 2025

      Published:16 January 2026

    • DOI: 10.11834/jig.250076     

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  • Quan Siwen, Zhang Shuting, Zhao Hebin, Nie Ziming, Hu Zhongwen, Yang Jiaqi. 2026. Two-stage dual-branch model for 3D point cloud denoising. Journal of Image and Graphics, 31(1):0261-0272 DOI: 10.11834/jig.250076.
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相关作者

Shen Tianshu 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Chi Jing 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Wang Yanbing 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Lei Yanlei 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Xu Ming 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Shi Zhenghao 西安理工大学计算机科学与工程学院
Wu Chenwei 西安理工大学计算机科学与工程学院
Li Chengjian 西安理工大学计算机科学与工程学院

相关机构

School of Computer and Artificial Intelligence, Shandong University of Finance and Economics, Ji’nan
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School of Computer Science and Engineering, Xi’an University of Technology
Key Laboratory of Aviation Science and Technology for Integrated Circuit and Microsystem Design, Xi’an Xiangteng Micro-Electronic Technology Co., Ltd.
Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology
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