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Related Experiment Video

Updated: Apr 23, 2026

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

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Published on: October 20, 2023

GPU-based skin texture synthesis for digital human model.

Zhe Shen¹, Lili Wang¹, Yaqian Zhao¹

¹State Key Laboratory of Virtual Reality Technology, Beihang University, Beijing, China.

Bio-Medical Materials and Engineering

|September 18, 2014

Summary

This summary is machine-generated.

This study introduces an efficient parallel texture synthesis method for realistic digital human skin. The new algorithm produces high-quality, arbitrarily large skin textures from small input images.

Keywords:

L2 normal form Texture synthesis parallel computing virtual human

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Area of Science:

Computer Graphics
Digital Human Modeling
Texture Synthesis

Background:

Realistic skin appearance is crucial for digital human models.
Developing efficient algorithms for high-quality skin synthesis remains challenging.

Purpose of the Study:

To propose a novel parallel texture synthesis method for large-scale digital human skin.
To address the limitations of existing algorithms in terms of efficiency and quality.

Main Methods:

A parallel matching procedure for initial texture generation.
A multi-pass optimizing procedure for refining texture quality.
Utilizing small input skin images to generate arbitrary output sizes.

Main Results:

The proposed method is easy to use and requires minimal input data.
It generates high-quality skin textures of arbitrary sizes.
Experimental results confirm the effectiveness of the synthesis method.

Conclusions:

The parallel texture synthesis method offers an effective solution for digital human skin.
This approach enhances the realism and efficiency of digital human model creation.