Article

Talking-Head Generation with Rhythmic Head Motion

Authors:

Chenliang XuAuthors Info & Claims

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IX

Pages 35 - 51

https://doi.org/10.1007/978-3-030-58545-7_3

Published: 23 August 2020 Publication History

Abstract

When people deliver a speech, they naturally move heads, and this rhythmic head motion conveys prosodic information. However, generating a lip-synced video while moving head naturally is challenging. While remarkably successful, existing works either generate still talking-face videos or rely on landmark/video frames as sparse/dense mapping guidance to generate head movements, which leads to unrealistic or uncontrollable video synthesis. To overcome the limitations, we propose a 3D-aware generative network along with a hybrid embedding module and a non-linear composition module. Through modeling the head motion and facial expressions (In our setting, facial expression means facial movement (e.g., blinks, and lip & chin movements).) explicitly, manipulating 3D animation carefully, and embedding reference images dynamically, our approach achieves controllable, photo-realistic, and temporally coherent talking-head videos with natural head movements. Thoughtful experiments on several standard benchmarks demonstrate that our method achieves significantly better results than the state-of-the-art methods in both quantitative and qualitative comparisons. The code is available on https://github.com/lelechen63/Talking-head-Generation-with-Rhythmic-Head-Motion.

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Cited By

Liu ZLiu XChen SLiu JWang LBi C(2024)Multimodal Fusion for Talking Face Generation Utilizing Speech-Related Facial Action UnitsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/367256520:9(1-24)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3672565
Yao ZCheng XHuang ZCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)FD2Talk: Towards Generalized Talking Head Generation with Facial Decoupled Diffusion ModelProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681238(3411-3420)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681238
Tian JYu CWang XChen PXiao ZHan JChai YCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Dynamic Mixed-Prototype Model for Incremental Deepfake DetectionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680895(8129-8138)Online publication date: 28-Oct-2024
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Information & Contributors

Information

Published In

cover image Guide Proceedings

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IX

Aug 2020

860 pages

ISBN:978-3-030-58544-0

DOI:10.1007/978-3-030-58545-7

Editors:
Andrea Vedaldi
University of Oxford, Oxford, UK
,
Horst Bischof
Graz University of Technology, Graz, Austria
,
Thomas Brox
University of Freiburg, Freiburg im Breisgau, Germany
,
Jan-Michael Frahm
University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

© Springer Nature Switzerland AG 2020.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 23 August 2020

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Cited By

Liu ZLiu XChen SLiu JWang LBi C(2024)Multimodal Fusion for Talking Face Generation Utilizing Speech-Related Facial Action UnitsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/367256520:9(1-24)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3672565
Yao ZCheng XHuang ZCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)FD2Talk: Towards Generalized Talking Head Generation with Facial Decoupled Diffusion ModelProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681238(3411-3420)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681238
Tian JYu CWang XChen PXiao ZHan JChai YCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Dynamic Mixed-Prototype Model for Incremental Deepfake DetectionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680895(8129-8138)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3680895
Xu ZGong STang JLiang LHuang YLi HHuang S(2024)KMTalk: Speech-Driven 3D Facial Animation with Key Motion EmbeddingComputer Vision – ECCV 202410.1007/978-3-031-72992-8_14(236-253)Online publication date: 29-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-72992-8_14
Tan SJi BBi MPan Y(2024)EDTalk: Efficient Disentanglement for Emotional Talking Head SynthesisComputer Vision – ECCV 202410.1007/978-3-031-72658-3_23(398-416)Online publication date: 29-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-72658-3_23
Bai XZhou JZhang PHao R(2024)Make Audio Solely Drive Lip in Talking Face Video SynthesisArtificial Neural Networks and Machine Learning – ICANN 202410.1007/978-3-031-72338-4_24(349-360)Online publication date: 17-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-72338-4_24
Airale LAlameda-Pineda XLathuilière SVaufreydaz D(2023)Autoregressive GAN for Semantic Unconditional Head Motion GenerationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/3635154Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3635154
Zhou MBai YZhang WYao TZhao TMei TEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Learning and Evaluating Human Preferences for Conversational Head GenerationProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612831(9615-9619)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3612831
Liu JWang XFu XChai YYu CDai JHan JEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)MFR-Net: Multi-faceted Responsive Listening Head Generation via Denoising Diffusion ModelProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612123(6734-6743)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3612123
Liu SWang H(2023)Talking Face Generation via Facial AnatomyACM Transactions on Multimedia Computing, Communications, and Applications10.1145/357174619:3(1-19)Online publication date: 25-Feb-2023
https://dl.acm.org/doi/10.1145/3571746
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