Rendering of Complex Microstructure

Tuesday, 26 July, 10:45 am - 12:15 pm, Anaheim Convention Center, Ballroom C
Session Chair: Wenzel Jakob, École Polytechnique Fédérale de Lausanne

Position-Normal Distributions for Efficient Rendering of Specular Microstructure

Introducing an efficient and general method for rendering specular-surface microstructure. The method treats a specular surface as a four-dimensional position-normal distribution, and fits this distribution using a mixture of 4D Gaussian flakes. This leads to fast closed-form solutions to the required BRDF evaluation and sampling queries.

Ling-Qi Yan
University of California, Berkeley

Milos Hasan
Autodesk, Inc.

Steve Marschner
Cornell University

Ravi Ramamoorthi
University of California, San Diego

Multi-Scale Rendering of Scratched Materials Using a Structured SV-BRDF Model

This paper introduces a multi-scale SV-BRDF model for scratched materials such as metals, plastics, or finished woods. The method controls the profile, micro-BRDF, density, and orientation of scratches; takes into account all inter-reflections inside a scratch; and works in direct and global illumination settings.

Boris Raymond
Université de Bordeaux

Gael Guennebaud

Pascal Barla

Multiple-Scattering Microfacet BSDFs With the Smith Model

Modeling multiple scattering in microfacet theory is considered an important open problem. This work derives the missing multiple-scattering components of the popular family of BSDFs based on the Smith microsurface model.

Eric Heitz
Unity Technologies

Johannes Hanika
Karlsruher Institut für Technologie

Eugene d'Eon

Carsten Dachsbacher
Karlsruher Institut für Technologie

Predicting Appearance From Measured Microgeometry of Metal Surfaces

The highly anisotropic appearance of metals is predicted from micron-scale measurements of surface geometry. In this work, geometric and wave-optics approaches are tested, a new ellipsoid NDF is proposed, and spatial texture is explored.

Zhao Dong
Autodesk, Inc.

Bruce Walter
Cornell University

Steve Marschner
Cornell University

Donald Greenberg
Cornell University