Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds

As commonly used implicit geometry representations, the signed distance function (SDF) is limited to modeling watertight shapes, while the unsigned distance function (UDF) is capable of representing various surfaces. However, its inherent theoretical shortcoming, i.e., the non-differentiability at t...

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Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 23. Apr.
Auteur principal: Yang, Chuanxiang (Auteur)
Autres auteurs: Zhou, Yuanfeng, Wei, Guangshun, Ma, Long, Hou, Junhui, Liu, Yuan, Wang, Wenping
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article