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Generating Talking Face With Controllable Eye Movements by Disentangled Blinking Feature.

Shiguang Liu, Jiaqi Hao

    IEEE Transactions on Visualization and Computer Graphics
    |August 17, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new system for generating realistic talking faces in virtual reality with controllable eye blinks. The method ensures independent control over facial appearance, mouth movements, and eye blinks for enhanced user experience.

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    Area of Science:

    • Computer Vision
    • Virtual Reality
    • Artificial Intelligence

    Background:

    • Talking face generation aims to create realistic speech videos from voice and face images for better virtual communication.
    • Blinking is a crucial natural action in speech videos, yet current methods lack control over eye movements and blinks.
    • Existing systems often fail to adequately address or control eye movement generation in talking face synthesis.

    Purpose of the Study:

    • To develop a novel system for generating vivid talking faces with controllable eye blinks.
    • To disentangle blinking actions by creating independent features for facial appearance, mouth movements, and eye movements.
    • To enhance the realism and user experience in virtual reality communication through precise control of facial expressions.

    Main Methods:

    • A novel system driven by joint identity, audio, and blink features for talking face generation.
    • Designed three independent features to control facial appearance, mouth movements, and eye movements separately.
    • Employed adversarial training of an identity encoder to isolate eye state information, strengthening blink feature independence.
    • Introduced a 'blink score' to guide the blink feature, ensuring human-perceptible eye control.

    Main Results:

    • The proposed method successfully generates realistic talking faces.
    • The system demonstrates full controllability over blinking patterns and timing.
    • Experimental results on multiple datasets validate the effectiveness and controllability of the approach.

    Conclusions:

    • The developed system offers a significant advancement in controllable talking face generation.
    • It enables the creation of more immersive and realistic virtual communication experiences.
    • The method provides precise control over eye blinks, a key element for natural human-computer interaction.