Laser & Optoelectronics Progress, Volume. 60, Issue 2, 0210012(2023)
Point Cloud Completion Network Based on Multiencoders and Residual-Transformer
Fig. 1. Point cloud completion network based on multi-encoders and Residual-Transformer
Fig. 3. Entire completion process of the proposed model. (a) Original point cloud; (b) predicted missing part; (c) complete point cloud after merging Fig.3 (a) and Fig.3 (b); (d) point cloud after sampling; (e) complete point cloud after enhancement; (f) ground truth
Fig. 4. Comparison of completion visualization effects of different methods on Shapenet-Part dataset
Fig. 5. Comparison of completion visualization effects of ablation study on Shapenet-Part dataset
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Hui Gao, Zhijing Yang, Wing-Kuen Ling, Jiangzhong Cao, Weijie Li. Point Cloud Completion Network Based on Multiencoders and Residual-Transformer[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0210012
Category: Image Processing
Received: Dec. 22, 2021
Accepted: Mar. 14, 2022
Published Online: Jan. 6, 2023
The Author Email: Zhijing Yang (yzhj@gdut.edu.cn)