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Research Article | Open Access

A biophysical-based skin model for heterogeneous volume rendering

State Key Lab of CAD&CG, Zhejiang University, Hangzhou 310058, China
Adobe Research, San Francisco, CA 94103, USA
College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China
Zhejiang Lab, Hangzhou 311121, China
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Graphical Abstract

Abstract

Realistic human skin rendering has been a long-standing challenge in computer graphics. Recently, biophysical-based skin rendering has received increasing attention, as it provides a more realistic skin-rendering and a more intuitive way to adjust the skin style. In this work, we present a novel heterogeneous biophysical-based volume rendering method for human skin that improves the realism of skin appearance while easily simulating various types of skin effects, including skin diseases, by modifying biological coefficient textures. Specifically, we introduce a two-layer skin representation by mesh deformation that explicitly models the epidermis and dermis with heterogeneous volumetric medium layers containing the corresponding spatially varying melanin and hemoglobin, respectively. Furthermore, to better facilitate skin acquisition, we introduced a learning-based framework that automatically estimates spatially varying biological coefficients from an albedo texture, enabling biophysical-based and intuitive editing, such as tanning, pathological vitiligo, and freckles. We illustrated the effects of multiple skin-editing applications and demonstrated superior quality to the commonly used random walk skin-rendering method, with more convincing skin details regarding subsurface scattering.

Keywords

skin modelrenderingray tracingbiophysics

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Computational Visual Media
Volume 11 Issue 2,
April 2025
Pages 289-303
DOI: 10.26599/CVM.2025.9450360
Cite this article:
Wang Q, Luan F, Dai Y, et al. A biophysical-based skin model for heterogeneous volume rendering. Computational Visual Media, 2025, 11(2): 289-303. https://doi.org/10.26599/CVM.2025.9450360

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Received: 01 February 2023
Accepted: 08 June 2023
Published: 08 May 2025
© The Author(s) 2025.

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