Self-supervised 3D Point Cloud Completion via Multi-view Adversarial Learning

In real-world scenarios, scanned point clouds are often incomplete due to occlusion issues. The task of self-supervised point cloud completion involves reconstructing missing regions of these incomplete objects without the supervision of complete ground truth. Current self-supervised methods either...

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Hauptverfasser:	Wu, Lintai, Cheng, Xianjing, Xu, Yong, Zeng, Huanqiang, Hou, Junhui
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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