Fully Convolutional Graph Neural Networks for Parametric Virtual Try‐On

We present a learning‐based approach for virtual try‐on applications based on a fully convolutional graph neural network. In contrast to existing data‐driven models, which are trained for a specific garment or mesh topology, our fully convolutional model can cope with a large family of garments, rep...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computer graphics forum 2020-12, Vol.39 (8), p.145-156
Hauptverfasser:	Vidaurre, Raquel, Santesteban, Igor, Garces, Elena, Casas, Dan
Format:	Artikel
Sprache:	eng
Schlagworte:	CCS Concepts Computing methodologies → Animation Decoupling Finite element method Garments Graph neural networks Machine learning Network topologies Neural networks Topology optimization Virtual networks
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!