Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model

We present a probabilistic framework to generate character animations based on weak control signals, such that the synthesized motions are realistic while retaining the stochastic nature of human movement. The proposed architecture, which is designed as a hierarchical recurrent model, maps each sub‐...

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Vydané v:	Computer graphics forum Ročník 39; číslo 8; s. 225 - 239
Hlavní autori:	Ghorbani, S., Wloka, C., Etemad, A., Brubaker, M. A., Troje, N. F.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.12.2020
Predmet:	CCS Concepts Computing methodologies → Animation Human motion Machine learning approaches Probability theory
ISSN:	0167-7055, 1467-8659
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