SoftSMPL: Data‐driven Modeling of Nonlinear Soft‐tissue Dynamics for Parametric Humans

We present SoftSMPL, a learning‐based method to model realistic soft‐tissue dynamics as a function of body shape and motion. Datasets to learn such task are scarce and expensive to generate, which makes training models prone to overfitting. At the core of our method there are three key contributions...

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Veröffentlicht in:	Computer graphics forum Jg. 39; H. 2; S. 65 - 75
Hauptverfasser:	Santesteban, Igor, Garces, Elena, Otaduy, Miguel A., Casas, Dan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.05.2020
Schlagworte:	CCS Concepts Computing methodologies → Animation Motion capture Nonlinear dynamics Training
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
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