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Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

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VASA-Rig: Audio-Driven 3D Facial Animation with 'Live' Mood Dynamics in Virtual Reality.

Ye Pan, Chang Liu, Sicheng Xu

IEEE Transactions on Visualization and Computer Graphics

|March 7, 2025

Summary

VASA-Rig enhances metaverse realism with advanced audio-driven 3D facial animation. This novel approach transforms 2D animations into 3D rig parameters, improving lip-sync and facial dynamics for immersive virtual experiences.

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Area of Science:

Computer Graphics
Virtual Reality
Artificial Intelligence

Background:

Current 2D talking head methods lack 3D adaptability.
Enhancing metaverse realism requires advanced 3D facial animation.

Purpose of the Study:

To develop a novel method for realistic audio-driven 3D facial animation.
To improve lip-audio synchronization, facial dynamics, and head movements in 3D.

Main Methods:

Introduction of a novel rig parameter-based emotional talking face dataset.
Proposal of the Latents2Rig model for 2D to 3D facial animation transformation.
Outputting 174 Metahuman rig parameters for industry pipeline integration.

Main Results:

VASA-Rig significantly advances realism in lip-audio synchronization and facial dynamics.
The Latents2Rig model effectively translates 2D facial animations into 3D.
VASA-Rig outperforms existing state-of-the-art methods in realism and accuracy.

Conclusions:

VASA-Rig offers a robust solution for creating realistic 3D facial animations.
The rig parameter-based approach enhances integration into industry-standard pipelines.
This advancement is crucial for improving metaverse immersion and interactivity.