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Related Experiment Video

Updated: Oct 19, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

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Published on: June 3, 2013

Exemplar-Based 3D Portrait Stylization.

Fangzhou Han, Shuquan Ye, Mingming He

IEEE Transactions on Visualization and Computer Graphics

|September 24, 2021

Summary

This summary is machine-generated.

This study introduces a novel one-shot 3D portrait stylization framework. It enables realistic geometry and texture style transfer from a single image, preserving identity for 3D face models.

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Area of Science:

Computer Vision
Computer Graphics
Artificial Intelligence

Background:

Exemplar-based portrait stylization is highly desired but challenging for both texture and geometry.
Existing methods often require extensive training data for specific styles.

Purpose of the Study:

To present the first one-shot 3D portrait style transfer framework.
To generate 3D face models with stylized geometry and texture while preserving identity.

Main Methods:

A two-stage framework: geometric style transfer using facial landmark translation and texture style transfer with a differentiable renderer.
Utilizes a single style image for stylization.

Main Results:

The framework successfully generates 3D face models with exaggerated geometry and stylized textures.
Achieves robust results across various artistic styles, outperforming existing methods.
Provides disentangled and parameterized geometry and texture outputs.

Conclusions:

The proposed method offers a powerful and flexible approach to 3D portrait stylization.
Enables diverse 2D and 3D graphics applications due to its 3D representation outputs.