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Updated: Feb 5, 2026

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Author Spotlight: Bridging the Gap Between In Vivo and Ex Vivo Studies with the "Avatar" Technique to Advance Muscle Mechanics Research
Published on: August 18, 2023
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AvatarMakeup: Realistic Makeup Transfer for 3D Animatable Head Avatars
Summary
AvatarMakeup enables realistic 3D virtual avatar makeup by transferring patterns from a single photo. This method ensures consistent appearance and identity preservation across expressions and views for enhanced visual appeal.
Area of Science:
- Computer Graphics
- Artificial Intelligence
- Virtual Reality
Background:
- 3D virtual avatars require personalized customization for visual appeal, similar to real-life facial beautification.
- Current 3D editing methods lack consistency, identity preservation, and fine detail control for realistic 3D makeup.
Purpose of the Study:
- To propose AvatarMakeup, a specialized 3D makeup method for realistic virtual avatar customization.
- To enable makeup transfer from a single reference photo while ensuring consistency and detail.
Main Methods:
- Leveraged a pretrained diffusion model for makeup pattern transfer.
- Employed a coarse-to-fine strategy with Coherent Duplication for consistent global UV map optimization.
- Integrated a Refinement Module into the diffusion model for high-quality makeup enhancement.
Main Results:
- Achieved state-of-the-art makeup transfer quality for 3D avatars.
- Demonstrated consistent appearance and identity preservation across dynamic expressions and multiple views.
- Enabled precise control over fine makeup details.
Conclusions:
- AvatarMakeup effectively addresses the limitations of existing methods for 3D virtual avatar makeup.
- The proposed method offers a robust solution for realistic and personalized avatar customization.
- AvatarMakeup sets a new standard for makeup transfer in virtual environments.
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