A new framework for the evaluation of locomotive motion datasets through motion matching techniques-Reference-Cited by-同舟云学术

A new framework for the evaluation of locomotive motion datasets through motion matching techniques

Published:2022-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th ACM SIGGRAPH Conference on Motion, Interaction and Games
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Author:

Abichequer Sangalli Vicenzo¹,Hoyet Ludovic¹,Christie Marc¹,Pettré Julien¹

Affiliation:

1. Inria, Univ Rennes, CNRS, IRISA, France

Funder

European Union?s Horizon 2020 research and innovation programme under the Marie Sk?odowska Curie grant agreement

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3561975.3562951

Reference28 articles.

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3. Michael Buttner . 2019 . Machine Learning for Motion Synthesis and Character Control. In ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D). ACM Press , Quebec, Canada. Michael Buttner. 2019. Machine Learning for Motion Synthesis and Character Control. In ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D). ACM Press, Quebec, Canada.

4. Simon Clavet . 2016 . Motion Matching and The Road to Next-Gen Animation . In Game Developers Conference (GDC) . San Francisco, California. https://www.gdcvault.com/play/1023280/Motion-Matching-and-The-Road Simon Clavet. 2016. Motion Matching and The Road to Next-Gen Animation. In Game Developers Conference (GDC). San Francisco, California. https://www.gdcvault.com/play/1023280/Motion-Matching-and-The-Road

5. Simon Clavet and Michael Buttner. 2015. Motion Matching and The Road to Next-Gen Animation. In Nucl.ai. https://www.youtube.com/watch?v=z_wpgHFSWss Simon Clavet and Michael Buttner. 2015. Motion Matching and The Road to Next-Gen Animation. In Nucl.ai. https://www.youtube.com/watch?v=z_wpgHFSWss