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A Facial Motion Retargeting Pipeline for Appearance Agnostic 3D Characters
1School of Information Technology Carleton University Ottawa Ontario Canada.
Computer Animation and Virtual Worlds
|December 20, 2024
Summary
This study introduces a new 3D facial motion retargeting pipeline. It achieves fast and semantically accurate facial animation for diverse characters, including nonhumans, without extensive preparation.
Area of Science:
- Computer Graphics
- Animation
- Human-Computer Interaction
Background:
- 3D facial motion retargeting captures human nuances but struggles with semantic accuracy, especially for nonhuman characters.
- Current methods require time-consuming face rig preparation, including 3D scanning and blendshape modeling.
Purpose of the Study:
- To develop a facial motion retargeting pipeline that delivers fast and semantically accurate results for diverse characters.
- To overcome limitations in reflecting facial motion's meaning and intensity across different character types.
Main Methods:
- Proposed a novel framework with a target face parameterization module based on facial anatomy.
- Incorporated a compatible source motion interpretation module for enhanced retargeting.
Main Results:
- The pipeline accurately recreates facial expressions with equivalent meaning and intensity.
- Semantic accuracy was demonstrated on nonhuman characters without laborious preparation.
Conclusions:
- The proposed retargeting pipeline offers a significant improvement in speed and semantic accuracy for 3D facial animation.
- Enables natural expression transfer to diverse characters, including nonhuman ones, reducing manual effort.
