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Geometry-Guided Dense Perspective Network for Speech-Driven Facial Animation.

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    This study introduces Geometry-guided Dense Perspective Network (GDPnet) for realistic 3D facial animation from speech. The novel deep architecture achieves speaker-independent animation with enhanced accuracy and generalization.

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    Area of Science:

    • Computer Vision
    • Machine Learning
    • Computer Graphics

    Background:

    • Generating realistic 3D facial animation from speech is complex due to intricate speech-face relationships.
    • Existing methods struggle with speaker independence and accurate geometric deformation.

    Purpose of the Study:

    • To propose a novel deep architecture, Geometry-guided Dense Perspective Network (GDPnet), for speaker-independent realistic 3D facial animation.
    • To enhance feature propagation, adapt feature recalibration, and improve geometric accuracy and generalization.

    Main Methods:

    • Utilized a deep encoder with dense connections for robust audio feature propagation.
    • Integrated an attention mechanism in the decoder for adaptive feature recalibration.
    • Introduced a non-linear face reconstruction representation to guide latent space for accurate deformation.
    • Employed Huber and Hilbert-Schmidt Independence Criterion (HSIC) constraints for model robustness and correlation analysis.

    Main Results:

    • GDPnet demonstrated superior performance in generating realistic 3D facial animations compared to state-of-the-art models.
    • The model achieved speaker-independent animation with improved accuracy and generalization across subjects.
    • Experimental validation on public and real scanned datasets confirmed the effectiveness of the proposed network.

    Conclusions:

    • GDPnet offers a robust and effective solution for realistic speech-driven 3D facial animation.
    • The proposed architecture successfully addresses challenges in speaker independence and geometric accuracy.
    • The method shows significant potential for applications requiring natural and lifelike facial animation.