activity
20212026
most citedReal-time Neural Woven Fabric Rendering

6 citations · 8 across the 11 of their papers we have counts for

collaborators

11 papers

cs.GR2026

PureLight: Learning Complex Luminaires with Light Tracing

Pedro Figueiredo, Zixuan Li, Beibei Wang +2

We propose a neural formulation for estimating the appearance of complex luminaires. We focus on challenging luminaires with complex light transport (e.g., small emitters enclosed…

cs.GR2026

Macrofacet Theory for Gaussian Process Statistical Surfaces

Minghao Huang, Yuang Cui, Beibei Wang +1

We present macrofacet theory to extend microfacet theory from the micro-space to the macro-space. This is achieved by transforming surfaces into volumetric representations that pre…

cs.GR2024

Fiber-level Woven Fabric Capture from a Single Photo

Zixuan Li, Pengfei Shen, Hanxiao Sun +7

Accurately rendering the appearance of fabrics is challenging, due to their complex 3D microstructures and specialized optical properties. If we model the geometry and optics of fa…

cs.GR2024

A Dynamic By-example BTF Synthesis Scheme

Zilin Xu, Zahra Montazeri, Beibei Wang +1

Measured Bidirectional Texture Function (BTF) can faithfully reproduce a realistic appearance but is costly to acquire and store due to its 6D nature (2D spatial and 4D angular). T…

cs.CV2024★ 6 cited

Real-time Neural Woven Fabric Rendering

Xiang Chen, Lu Wang, Beibei Wang

Woven fabrics are widely used in applications of realistic rendering, where real-time capability is also essential. However, rendering realistic woven fabrics in real time is chall…

cs.GR2023

Multiple-bounce Smith Microfacet BRDFs using the Invariance Principle

Yuang Cui, Gaole Pan, Jian Yang +3

Smith microfacet models are widely used in computer graphics to represent materials. Traditional microfacet models do not consider the multiple bounces on microgeometries, leading…

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…