activity
20192023
most citedA Bayesian Inference Framework for Procedural Material Parameter Estimation

30 citations · 33 across the 8 of their papers we have counts for

collaborators

9 papers

cs.GR2023★ 1 cited

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…

cs.GR2022★ 2 cited

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…

cs.GR2021

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…

cs.GR2021

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…

cs.GR2021

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…

cs.GR2021

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…

math-ph2021

On the Properties of the Anisotropic Multivariate Hermite-Gauss Functions

Shlomi Steinberg, Ömer Eğecioğlu, Ling-Qi Yan

The Hermite-Gauss basis functions have been extensively employed in classical and quantum optics due to their convenient analytic properties. A class of multivariate Hermite-Gauss…

cs.GR2021

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…

cs.GR2019★ 30 cited

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…