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This research aims to develop a practical method for creating high-quality 3D head avatars using simple monocular video input.

Expressive Head Avatar Modeling from Monocular Video of Neutral Expression

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Randomized trial demonstrates enhanced 3D head avatar generation from monocular video in users, implying improved realism and usability.

This research aims to develop a practical method for creating high-quality 3D head avatars using simple monocular video input.
Introduced R² Avatar for generating expressive 3D head avatars using a reconstruction-by-restoration strategy.
Employed a geometry-guided warping module to synthesize coarse expressions from neutral input.
Utilized a restoration module to refine results and recover high-frequency facial details.
Achieved realistic avatars with improved expression diversity compared to baseline methods.
Demonstrated enhanced view consistency in the generated avatars, optimizing user experience.

Chang et al. (2026) studied this question.

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View Full Paper

Ask AI

Bookmark

Authors

Randomized trial demonstrates enhanced 3D head avatar generation from monocular video in users, implying improved realism and usability.

This research aims to develop a practical method for creating high-quality 3D head avatars using simple monocular video input.
Introduced R² Avatar for generating expressive 3D head avatars using a reconstruction-by-restoration strategy.
Employed a geometry-guided warping module to synthesize coarse expressions from neutral input.
Utilized a restoration module to refine results and recover high-frequency facial details.
Achieved realistic avatars with improved expression diversity compared to baseline methods.
Demonstrated enhanced view consistency in the generated avatars, optimizing user experience.

Chang et al. (2026) studied this question.

View Full Paper

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