Inverse Rendering of Translucent Objects with Shape-Adaptive Importance Sampling

Joo Ho Lee

Abstract:

Subsurface scattering is ubiquitous in organic materials and has been widely researched in computer graphics. Inverse ren-
dering of subsurface scattering, however, is often constrained by the planar geometry assumption of traditional analytic Bidi-
rectional Surface Scattering Reflectance Distribution Functions (BSSRDF). To address this issue, a shape-adaptive BSSRDF

model has been proposed to render translucent objects on curved geometry with high accuracy. In this paper, we leverage this
model to estimate parameters of subsurface scattering for inverse rendering. We compute the finite difference of the rendering

equation for subsurface scattering and iteratively update material parameters. We demonstrate the performance of our shape-
adaptive inverse rendering model by analyzing the estimation accuracy and comparing to inverse rendering with plane-based

BSSRDF models and volumetric methods.