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FACNet:Feature alignment fast point cloud completion network

Xinxing Yu Jianyi Li Chi-Chong Wong Chi-Man Vong Yanyan Liang

计算可视媒体（英文）2025，Vol.11Issue(1)：141-157,17.

计算可视媒体（英文）2025，Vol.11Issue(1)：141-157,17.DOI:10.26599/CVM.2025.9450449

FACNet:Feature alignment fast point cloud completion network

Xinxing Yu ¹Jianyi Li ¹Chi-Chong Wong ¹Chi-Man Vong ²Yanyan Liang¹

作者信息

1. School of Computer Science and Engineering,Faculty of Innovation Engineering,Macau University of Science and Technology,Taipa,Macau,China
2. Faculty of Science and Technology,University of Macau,Taipa,Macau,China
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摘要

关键词

3D point clouds/shape completion/geometry processing/deep learning

Key words

3D point clouds/shape completion/geometry processing/deep learning

引用本文复制引用

Xinxing Yu,Jianyi Li,Chi-Chong Wong,Chi-Man Vong,Yanyan Liang..FACNet:Feature alignment fast point cloud completion network[J].计算可视媒体（英文）,2025,11(1):141-157,17.

基金项目

This work is supported by the Zhuhai Industry-University-Research Project(No.2220004002411),National Key R&D Program of China(No.2021YFE0205700),Science and Technology Development Fund of Macau(Nos.0070/2020/AMJ,00123/2022/A3,and 0096/2023/RIA2),Zhuhai City Polytechnic Research Project(No.2024KYBS02),Shenzhen Science and Technology Innovation Committee(No.SGDX20220530111001006),and the University of Macau under Grants MYRG(Nos.GRG2023-00061-FST UMDF and 2022-00084-FST). （No.2220004002411）

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