SoftDECA: Computationally Efficient Physics-Based Facial Animations-Reference-Cited by-同舟云学术

SoftDECA: Computationally Efficient Physics-Based Facial Animations

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:ACM SIGGRAPH Conference on Motion, Interaction and Games
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Author:

Wagner Nicolas¹^ORCID,Botsch Mario²^ORCID,Schwanecke Ulrich³^ORCID

Affiliation:

1. Computer Science, Technical University Dortmund, Germany

2. Technical University Dortmund, Germany

3. University of Applied Science RheinMain, Germany

Publisher

ACM

Reference57 articles.

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2. RigNeRF: Fully Controllable Neural 3D Portraits

3. Michael Bao , Matthew Cong , Stéphane Grabli , and Ronald Fedkiw . 2019 . High-quality face capture using anatomical muscles . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 10802–10811 . Michael Bao, Matthew Cong, Stéphane Grabli, and Ronald Fedkiw. 2019. High-quality face capture using anatomical muscles. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 10802–10811.

4. Vincent Barrielle , Nicolas Stoiber , and Cédric Cagniart . 2016 . Blendforces: A dynamic framework for facial animation. In Computer Graphics Forum, Vol. 35 . Wiley Online Library , 341–352. Vincent Barrielle, Nicolas Stoiber, and Cédric Cagniart. 2016. Blendforces: A dynamic framework for facial animation. In Computer Graphics Forum, Vol. 35. Wiley Online Library, 341–352.

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