30 citations · 33 across the 8 of their papers we have counts for
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A Generalized Ray Formulation For Wave-Optics Rendering
Shlomi Steinberg, Ravi Ramamoorthi, Benedikt Bitterli +3
Under ray-optical light transport, the classical ray serves as a linear and local "point query" of light's behaviour. Linearity and locality are crucial to the formulation of sophi…
BSDF Importance Baking: A Lightweight Neural Solution to Importance Sampling General Parametric BSDFs
Yaoyi Bai, Songyin Wu, Zheng Zeng +2
Parametric Bidirectional Scattering Distribution Functions (BSDFs) are pervasively used because of their flexibility to represent a large variety of material appearances by simply…
Neural BRDFs: Representation and Operations
Jiahui Fan, Beibei Wang, Miloš Hašan +2
Bidirectional reflectance distribution functions (BRDFs) are pervasively used in computer graphics to produce realistic physically-based appearance. In recent years, several works…
SpongeCake: A Layered Microflake Surface Appearance Model
Beibei Wang, Wenhua Jin, Miloš Hašan +1
In this paper, we propose SpongeCake: a layered BSDF model where each layer is a volumetric scattering medium, defined using microflake or other phase functions. We omit any reflec…
Constant-Cost Spatio-Angular Prefiltering of Glinty Appearance Using Tensor Decomposition
Hong Deng, Yang Liu, Beibei Wang +4
The detailed glinty appearance from complex surface microstructures enhances the level of realism, but is both space- and time-consuming to render, especially when viewed from far…
Position-free Multiple-bounce Computations for Smith Microfacet BSDFs
Beibei Wang, Wenhua Jin, Jiahui Fan +3
Bidirectional Scattering Distribution Functions (BSDFs) encode how a material reflects or transmits the incoming light. The most commonly used model is the Microfacet BSDF. It comp…
Rendering Discrete Participating Media with Geometrical Optics Approximation
Jie Guo, Bingyang Hu, Yanjun Chen +3
We consider the scattering of light in participating media composed of sparsely and randomly distributed discrete particles. The particle size is expected to range from the scale o…
A Bayesian Inference Framework for Procedural Material Parameter Estimation
Yu Guo, Milos Hasan, Lingqi Yan +1
Procedural material models have been gaining traction in many applications thanks to their flexibility, compactness, and easy editability. We explore the inverse rendering problem…