PU-GAT: Point cloud upsampling with graph attention network

Point cloud upsampling has been extensively studied, however, the existing approaches suffer from the losing of structural information due to neglect of spatial dependencies between points. In this work, we propose PU-GAT, a novel 3D point cloud upsampling method that leverages graph attention netwo...

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מידע ביבליוגרפי

Principais autores:	Xuan Deng, Cheng Zhang, Jian Shi, Zizhao Wu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2023-12-01
סדרה:	Graphical Models
נושאים:	Machine learning 3D vision Point cloud analysis Point cloud upsampling
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S1524070323000310
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