Robust Light Transport Simulation via Metropolised Bidirectional Estimators

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10336454" target="_blank" >RIV/00216208:11320/16:10336454 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/2980179.2982411" target="_blank" >http://dx.doi.org/10.1145/2980179.2982411</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/2980179.2982411" target="_blank" >10.1145/2980179.2982411</a>

Result language

angličtina

Original language name

Robust Light Transport Simulation via Metropolised Bidirectional Estimators

Original language description

Efficiently simulating light transport in various scenes with a single algorithm is a difficult and important problem in computer graphics. Two major issues have been shown to hinder the efficiency of the existing solutions: light transport due to multiple highly glossy or specular interactions, and scenes with complex visibility between the camera and light sources. While recent bidirectional path sampling methods such as vertex connection and merging/unified path sampling (VCM/UPS) efficiently deal with highly glossy or specular transport, they tend to perform poorly in scenes with complex visibility. On the other hand, Markov chain Monte Carlo (MCMC) methods have been able to show some excellent results in scenes with complex visibility, but they behave unpredictably in scenes with glossy or specular surfaces due to their fundamental issue of sample correlation. In this paper, we show how to fuse the underlying key ideas behind VCM/UPS and MCMC into a single, efficient light transport solution. Our algorithm is specifically designed to retain the advantages of both approaches, while alleviating their limitations. Our experiments show that the algorithm can efficiently render scenes with both highly glossy or specular materials and complex visibility, without compromising the performance in simpler cases.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

—

Project

<a href="/en/project/GA16-18964S" target="_blank" >GA16-18964S: Adaptive sampling and Markov chain Monte Carlo methods in light transport simulation</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

ACM Transactions on Graphics

ISSN

0730-0301

e-ISSN

—

Volume of the periodical

35

Issue of the periodical within the volume

6

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

—

UT code for WoS article

000388446200087

EID of the result in the Scopus database

—