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cs.CV2024
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion
Yinghui Li, Qianyu Zhou, Jingyu Gong +4
Point Transformers (PoinTr) have shown great potential in point cloud completion recently. Nevertheless, effective domain adaptation that improves transferability toward target dom…
cs.CV2024
Consistent Point Orientation for Manifold Surfaces via Boundary Integration
Weizhou Liu, Xingce Wang, Haichuan Zhao +4
This paper introduces a new approach for generating globally consistent normals for point clouds sampled from manifold surfaces. Given that the generalized winding number (GWN) fie…
cs.CV2024
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
Jincen Jiang, Lizhi Zhao, Xuequan Lu +3
Recent works attempt to extend Graph Convolution Networks (GCNs) to point clouds for classification and segmentation tasks. These works tend to sample and group points to create sm…