End-to-end Learning for 3D Facial Animation from Speech-Reference-Cited by-同舟云学术

End-to-end Learning for 3D Facial Animation from Speech

Published:2018-10-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th ACM International Conference on Multimodal Interaction
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Author:

Pham Hai Xuan¹,Wang Yuting¹,Pavlovic Vladimir¹

Affiliation:

1. Rutgers University, Piscataway, NJ, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3242969.3243017

Reference41 articles.

1. Convolutional Neural Networks for Speech Recognition

2. Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition

3. V. Blanz C. Basso T. Poggio and T. Vetter . 1999. Reanimating faces in images and video. In SIGGAPH. 187--194. V. Blanz C. Basso T. Poggio and T. Vetter . 1999. Reanimating faces in images and video. In SIGGAPH. 187--194.

4. V. Blanz and T. Vetter . 2003. A morphable model for the synthesis of 3d faces. In Eurographics. 641--650. V. Blanz and T. Vetter . 2003. A morphable model for the synthesis of 3d faces. In Eurographics. 641--650.

5. C. Bregler M. Covell and M. Slaney . 2007. Video rewrite: driving visual speech with audio. In SIGGRAPH. 353--360. 10.1145/258734.258880 C. Bregler M. Covell and M. Slaney . 2007. Video rewrite: driving visual speech with audio. In SIGGRAPH. 353--360. 10.1145/258734.258880

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