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)
language:
Short-container-title:

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

Cited by 71 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning for Visual Speech Analysis: A Survey;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-09

2. Speed-Aware Audio-Driven Speech Animation using Adaptive Windows;ACM Transactions on Graphics;2024-08-31

3. An Empirical Study of Portrait Rights on Emotional Evolution in Virtual Social Scenarios by Transformer and Cloud Computing;Journal of Organizational and End User Computing;2024-07-19

4. Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

5. ERF: Generating Hierarchical Editing Audio-Driven Talking Head Using Dynamic Neural Radiance Fields;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30