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Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1637006(2025)

Multi-Scale Hybrid Feature Extraction and Activation Query Point Cloud Completion Network

Yu Li1, Zhenming Yu2、*, Jiawei Deng2, Jiaguang Huang2, and Meini Lü2
Author Affiliations
  • 1School of Information and Communication, Guilin University of Electronic Science and Technology, Guilin 541010, Guangxi , China
  • 2Guangxi Key Laboratory of Machine Vision and Intelligent Control, Wuzhou University, Wuzhou 543002, Guangxi , China
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    [2] Han X G, Li Z, Huang H B et al. High-resolution shape completion using deep neural networks for global structure and local geometry inference[C], 85-93(2017).

    [3] Stutz D, Geiger A. Learning 3D shape completion from laser scan data with weak supervision[C], 1955-1964(2018).

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    [6] Zhou H, Wang X C, Yuan Y. Three-dimensional point cloud registration network based on deep interactive multi-scale receptive field feature learning[J]. Acta Optica Sinica, 44, 1415001(2024).

    [7] Zhang C, Wang Z J, Wu H et al. Lidar point cloud segmentation model based on improved PointNet++[J]. Laser & Optoelectronics Progress, 61, 0411001(2024).

    [8] Zeng Q X, Li Q, Nie W Z. Lidar SLAM algorithm based on online point cloud removal in pseudo occupied area[J]. Acta Optica Sinica, 43, 2028001(2023).

    [9] Charles R Q, Hao S, Mo K C et al. PointNet: deep learning on point sets for 3D classification and segmentation[C], 77-85(2017).

    [10] Qi C R, Yi L, Su H et al. PointNet++: deep hierarchical feature learning on point sets in a metric space[EB/OL]. https://arxiv.org/abs/1706.02413v1

    [11] Cao J, Peng Y Q, Fan L K et al. 3D object detection based on voxel self-attention auxiliary networks[J]. Laser & Optoelectronics Progress, 61, 2415004(2024).

    [12] Tao Z Y, Li H, Dou M S et al. Multi-resolution feature fusion for point cloud classification and segmentation network[J]. Opto-Electronic Engineering, 50, 230166(2023).

    [13] Tchapmi L P, Kosaraju V, Rezatofighi H et al. TopNet: structural point cloud decoder[C], 383-392(2019).

    [14] Yu X M, Rao Y M, Wang Z Y et al. PoinTr: diverse point cloud completion with geometry-aware transformers[C], 12478-12487(2021).

    [15] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[EB/OL]. https://arxiv.org/abs/1706.03762

    [16] Wang Y, Sun Y B, Liu Z W et al. Dynamic graph CNN for learning on point clouds[J]. ACM Transactions on Graphics, 38, 146(2019).

    [17] Yu X M, Rao Y M, Wang Z Y et al. AdaPoinTr: diverse point cloud completion with adaptive geometry-aware transformers[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 14114-14130(2023).

    [18] Wang J, Cui Y, Guo D Y et al. PointAttN: you only need attention for point cloud completion[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 38, 5472-5480(2024).

    [19] Fan H Q, Su H, Guibas L. A point set generation network for 3D object reconstruction from a single image[C], 2463-2471(2017).

    [20] Tatarchenko M, Richter S R, Ranftl R et al. What do single-view 3D reconstruction networks learn?[C], 3400-3409(2019).

    [21] Yang Y Q, Feng C, Shen Y R et al. FoldingNet: point cloud auto-encoder via deep grid deformation[C], 206-215(2018).

    [22] Yuan W T, Khot T, Held D et al. PCN: point completion network[C], 728-737(2018).

    [23] Xiang P, Wen X, Liu Y S et al. Snowflake point deconvolution for point cloud completion and generation with skip-transformer[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 6320-6338(2023).

    [24] Wen X, Xiang P, Han Z Z et al. PMP-net: point cloud completion by transformer-enhanced multi-step point moving paths[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 852-867(2023).

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    Yu Li, Zhenming Yu, Jiawei Deng, Jiaguang Huang, Meini Lü. Multi-Scale Hybrid Feature Extraction and Activation Query Point Cloud Completion Network[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1637006

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    Paper Information

    Category: Digital Image Processing

    Received: Dec. 12, 2024

    Accepted: Mar. 21, 2025

    Published Online: Aug. 6, 2025

    The Author Email: Zhenming Yu (yumingming@vip.sina.com)

    DOI:10.3788/LOP242424

    CSTR:32186.14.LOP242424

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology