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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Bibliographic Details

Published in:	Computer graphics forum Vol. 39; no. 8; pp. 225 - 239
Main Authors:	Ghorbani, S., Wloka, C., Etemad, A., Brubaker, M. A., Troje, N. F.
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.12.2020
Subjects:	CCS Concepts Computing methodologies → Animation Human motion Machine learning approaches Probability theory
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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