Deep Learning on Implicit Neural Representations of Shapes

Implicit Neural Representations (INRs) have emerged in the last few years as a powerful tool to encode continuously a variety of different signals like images, videos, audio and 3D shapes. When applied to 3D shapes, INRs allow to overcome the fragmentation and shortcomings of the popular discrete re...

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Veröffentlicht in:	arXiv.org 2023-02
Hauptverfasser:	Luca De Luigi, Cardace, Adriano, Spezialetti, Riccardo, Pierluigi Zama Ramirez, Salti, Samuele, Luigi Di Stefano
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Neural networks Representations
Online-Zugang:	Volltext
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