Deep-learning-based point cloud completion methods: A review
Point cloud completion aims to utilize algorithms to repair missing parts in 3D data for high-quality point clouds. This technology is crucial for applications such as autonomous driving and urban planning. With deep learning’s progress, the robustness and accuracy of point cloud completion have imp...
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| Main Authors: | Kun Zhang, Ao Zhang, Xiaohong Wang, Weisong Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Graphical Models |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1524070324000213 |
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