Xiyang Yin, Pei Zhou, Jiangping Zhu. Attention-Based Multi-Stage Network for Point Cloud Completion[J]. Laser & Optoelectronics Progress, 2024, 61(10): 1015002
- Laser & Optoelectronics Progress
- Vol. 61, Issue 10, 1015002 (2024)
Fig. 1. Overall architecture of AMCNet
Fig. 2. Illustration of the aggregation of local features in pyramid feature extractor
Fig. 3. GAB. (a) Improved cross-attention module; (b) self-attention module; (c) channel attention SELayer module (⊕ denotes element-wise addition and ⊙ denotes Hadamard product)
Fig. 4. Structure of the point generator
Fig. 5. Visualization of completion results of different networks on PCN dataset
Fig. 6. Visualization of completion results of different networks in terms of the chair class
Fig. 7. Visualization of completion results at different resolutions of input
Fig. 8. Visualization of completion results of different point cloud block size
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Table 1. Point cloud completion comparison on PCN dataset in terms of CD(lower is better)
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Table 2. Effect of the resolution of the input point cloud
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Table 3. Effect of point cloud block size
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Table 4. Effect of attention module
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