StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads-Reference-Cited by-同舟云学术

StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads

Published:2024-06 Issue:6 Volume:46 Page:4331-4347
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wang Suzhen¹^ORCID,Ma Yifeng²^ORCID,Ding Yu¹^ORCID,Hu Zhipeng¹^ORCID,Fan Changjie¹^ORCID,Lv Tangjie¹^ORCID,Deng Zhidong²^ORCID,Yu Xin³^ORCID

Affiliation:

1. Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China

2. Department of Computer Science and Technology, BNRist, THUAI, State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China

3. School of Computer Science, The University of Queensland, Brisbane, Australia

Funder

2022 Hangzhou Key Science and Technology Innovation

Key Research and Development Program of Zhejiang Province

ARC-Discovery

ARC-DECRA

National Natural Science Foundation of China

Institute Guo Qiang

Tsinghua University

SAIC Motor

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10522060/10413601.pdf?arnumber=10413601

Reference67 articles.

1. Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion

2. One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning

3. StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles

4. A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild

5. Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

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