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    • A survey on point cloud completion algorithms for deep learning

    • In the field of 3D vision, significant progress has been made in point cloud completion algorithms. Expert systems have reviewed point cloud completion techniques in the context of deep learning, providing important references for research such as 3D reconstruction.
    • Vol. 30, Issue 2, Pages: 309-333(2025)   

      Received:06 March 2024

      Revised:26 June 2024

      Published:16 February 2025

    • DOI: 10.11834/jig.240124     

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  • Hu Fuyuan, Li Chenlu, Zhou Tao, Cheng Hongfu, Gu Minming. 2025. A survey on point cloud completion algorithms for deep learning. Journal of Image and Graphics, 30(02):0309-0333 DOI: 10.11834/jig.240124.
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相关作者

Chen Long 中国科学院自动化研究所
Xu Yingfen 湖北大学人工智能学院
Hu Xuemin 湖北大学人工智能学院;智能感知系统与安全教育部重点实验室
Huang Tingyu 湖北大学人工智能学院;智能感知系统与安全教育部重点实验室
Li Shen 湖北大学人工智能学院;智能感知系统与安全教育部重点实验室
Lyu Chenlei 深圳大学计算机与软件学院
Su Zhuo 中山大学计算机学院
Fu Yiyu 中山大学人工智能学院

相关机构

Institute of Automation, Chinese Academy of Sciences
Key Laboratory of Intelligent Sensing System and Security, Ministry of Education
School of Artificial Intelligence, Hubei University
School of Computer and Information Security, Guilin University of Electronic Science and Technology
College of Computer Science and Software Engineering,Shenzhen University
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