Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian

Neural implicit representation is a promising approach for reconstructing surfaces from point clouds. Existing methods combine various regularization terms, such as the Eikonal and Laplacian energy terms, to enforce the learned neural function to possess the properties of a Signed Distance Function...

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Veröffentlicht in:	ACM transactions on graphics 2023-12, Vol.42 (6), p.1-14, Article 274
Hauptverfasser:	Wang, Zixiong, Zhang, Yunxiao, Xu, Rui, Zhang, Fan, Wang, Peng-Shuai, Chen, Shuangmin, Xin, Shiqing, Wang, Wenping, Tu, Changhe
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer graphics Computing methodologies Point-based models Shape modeling
Online-Zugang:	Volltext
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