FaceFormer: Speech-Driven 3D Facial Animation with Transformers-Reference-Cited by-同舟云学术

FaceFormer: Speech-Driven 3D Facial Animation with Transformers

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Fan Yingruo¹,Lin Zhaojiang²,Saito Jun³,Wang Wenping¹,Komura Taku¹

Affiliation:

1. The University of Hong Kong

2. The Hong Kong University of Science and Technology

3. Adobe Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878591.pdf?arnumber=9878591

Reference55 articles.

1. Geometry-guided dense perspective network for speech-driven facial animation;jingying;IEEE Transactions on Visualization and Computer Graphics,2021

2. End-to-end hu-man pose and mesh reconstruction with transformers;kevin;Pro-ceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2021

3. Deep video portraits;hyeongwoo;ACM Transactions on Graphics,2018

4. Transformers in vision: A survey;salman;ar Xiv preprint,2021

5. Audio-driven facial animation by joint end-to-end learning of pose and emotion;tero;ACM Transactions on Graphics,2017

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