TM-NET: deep generative networks for textured meshes

We introduce TM-NET, a novel deep generative model for synthesizing textured meshes in a part-aware manner. Once trained, the network can generate novel textured meshes from scratch or predict textures for a given 3D mesh, without image guidance. Plausible and diverse textures can be generated for t...

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Veröffentlicht in:	ACM transactions on graphics 2021-12, Vol.40 (6), p.1-15, Article 263
Hauptverfasser:	Gao, Lin, Wu, Tong, Yuan, Yu-Jie, Lin, Ming-Xian, Lai, Yu-Kun, Zhang, Hao
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer graphics Computing methodologies Shape modeling
Online-Zugang:	Volltext
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