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  4. Specular Manifold Sampling for Rendering High-Frequency Caustics and Glints
 
research article

Specular Manifold Sampling for Rendering High-Frequency Caustics and Glints

Zeltner, Tizian  
•
Georgiev, Iliyan
•
Jakob, Wenzel  
July 1, 2020
Acm Transactions On Graphics

Scattering from specular surfaces produces complex optical effects that are frequently encountered in realistic scenes: intricate caustics due to focused reflection, multiple refraction, and high-frequency glints from specular microstructure. Yet, despite their importance and considerable research to this end, sampling of light paths that cause these effects remains a formidable challenge.

In this article, we propose a surprisingly simple and general sampling strategy for specular light paths including the above examples, unifying the previously disjoint areas of caustic and glint rendering into a single framework. Given two path vertices, our algorithm stochastically finds a specular subpath connecting the endpoints. In contrast to prior work, our method supports high-frequency normal- or displacement-mapped geometry, samples specular-diffuse-specular ("SDS") paths, and is compatible with standard Monte Carlo methods including unidirectional path tracing. Both unbiased and biased variants of our approach can be constructed, the latter often significantly reducing variance, which may be appealing in applied settings (e.g. visual effects). We demonstrate our method on a range of challenging scenes and evaluate it against state-of-the-art methods for rendering caustics and glints.

  • Details
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Type
research article
DOI
10.1145/3386569.3392408
Web of Science ID

WOS:000583700300122

Author(s)
Zeltner, Tizian  
Georgiev, Iliyan
Jakob, Wenzel  
Date Issued

2020-07-01

Publisher

ASSOC COMPUTING MACHINERY

Published in
Acm Transactions On Graphics
Volume

39

Issue

4

Start page

149

Subjects

Computer Science, Software Engineering

•

Computer Science

•

specular light pahts

•

sds paths

•

caustics

•

glints

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
RGL  
Available on Infoscience
December 13, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/174018
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