Robust motion in-betweening

In this work we present a novel, robust transition generation technique that can serve as a new tool for 3D animators, based on adversarial recurrent neural networks. The system synthesises high-quality motions that use temporally-sparse keyframes as animation constraints. This is reminiscent of the...

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Bibliographische Detailangaben

Veröffentlicht in:	ACM transactions on graphics 2020-07, Vol.39 (4), p.60:1-60:12, Article 60
Hauptverfasser:	Harvey, Félix G., Yurick, Mike, Nowrouzezahrai, Derek, Pal, Christopher
Format:	Artikel
Sprache:	eng
Schlagworte:	Animation Computer graphics Computer Science Computer Science, Software Engineering Computing methodologies Machine learning Machine learning approaches Motion capture Neural networks Science & Technology Technology
Online-Zugang:	Volltext
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