State of the Art in Efficient Translucent Material Rendering with BSSRDF

Loading...
Thumbnail Image
Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.
Abstract
Sub‐surface scattering is always an important feature in translucent material rendering. When light travels through optically thick media, its transport within the medium can be approximated using diffusion theory, and is appropriately described by the bidirectional scattering‐surface reflectance distribution function (BSSRDF). BSSRDF methods rely on assumptions about object geometry and light distribution in the medium, which limits their applicability to general participating media problems. However, despite the high computational cost of path tracing, BSSRDF methods are often favoured due to their suitability for real‐time applications. We review these methods and discuss the most recent breakthroughs in this field. We begin by summarizing various BSSRDF models and then implement most of them in a 2D searchlight problem to demonstrate their differences. We focus on acceleration methods using BSSRDF, which we categorize into two primary groups: pre‐computation and texture methods. Then we go through some related topics, including applications and advanced areas where BSSRDF is used, as well as problems that are sometimes important yet are ignored in sub‐surface scattering estimation. In the end of this survey, we point out remaining constraints and challenges, which may motivate future work to facilitate sub‐surface scattering.
Description

        
@article{
10.1111:cgf.14998
, journal = {Computer Graphics Forum}, title = {{
State of the Art in Efficient Translucent Material Rendering with BSSRDF
}}, author = {
Liang, Shiyu
and
Gao, Yang
and
Hu, Chonghao
and
Zhou, Peng
and
Hao, Aimin
and
Wang, Lili
and
Qin, Hong
}, year = {
2024
}, publisher = {
© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.14998
} }
Citation