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TalkingEyes: Pluralistic Speech-Driven 3D Eye Gaze Animation.

Yixiang Zhuang, Chunshan Ma, Yao Cheng

    IEEE Transactions on Visualization and Computer Graphics
    |March 17, 2026
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    Summary

    Researchers developed a new method for generating realistic 3D eye gaze animations from speech. This addresses a gap in speech-driven facial animation, enabling more natural digital characters.

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    Area of Science:

    • Computer Graphics and Animation
    • Artificial Intelligence
    • Human-Computer Interaction

    Background:

    • Recent advancements in speech-driven 3D facial animation have largely overlooked eye gaze animation.
    • Generating realistic eye gaze from speech is challenging due to weak correlations and limited audio-gaze data.
    • This limitation hinders the creation of fully animated, natural-looking digital characters.

    Purpose of the Study:

    • To propose a novel data-driven method for generating diverse 3D eye gaze motions synchronized with speech.
    • To address the scarcity of audio-gaze data by constructing a comprehensive dataset.
    • To develop a speech-to-motion translation framework that jointly models head and eye gaze motions.

    Main Methods:

    • Constructed a 14-hour audio-mesh dataset with synchronized high-quality eye gaze, head, and facial motion.
    • Developed a speech-to-motion translation framework separating head and eye gaze motions into distinct latent spaces.
    • Utilized lightweight eye gaze fitting and face reconstruction for data acquisition.

    Main Results:

    • The proposed method, TalkingEyes, successfully synthesizes synchronized eye gaze, blinks, head, and facial motions from speech.
    • Evaluations demonstrate the generation of diverse and natural 3D eye gaze motions.
    • A perceptual user study confirmed the method's superiority over existing approaches.

    Conclusions:

    • The TalkingEyes method effectively bridges the gap in speech-driven eye gaze animation.
    • Jointly modeling head and eye gaze in separate latent spaces improves synchronization and naturalness.
    • This research enables more expressive and realistic speech-driven 3D facial animation.