Please use this identifier to cite or link to this item: doi:10.22028/D291-39174
Volltext verfügbar? / Dokumentlieferung
Title: Correlation‐Aware Multiple Importance Sampling for Bidirectional Rendering Algorithms
Author(s): Grittmann, Pascal
Georgiev, Iliyan
Slusallek, Philipp
Language: English
Title: Computer graphics forum : the international journal of the Eurographics
Volume: 40
Issue: 2
Pages: 231-238
Publisher/Platform: Wiley
Year of Publication: 2021
DDC notations: 004 Computer science, internet
Publikation type: Journal Article
Abstract: Combining diverse sampling techniques via multiple importance sampling (MIS) is key to achieving robustness in modern Monte Carlo light transport simulation. Many such methods additionally employ correlated path sampling to boost efficiency. Photon mapping, bidirectional path tracing, and path-reuse algorithms construct sets of paths that share a common prefix. This correlation is ignored by classical MIS heuristics, which can result in poor technique combination and noisy images. We propose a practical and robust solution to that problem. Our idea is to incorporate correlation knowledge into the balance heuristic, based on known path densities that are already required for MIS. This correlation-aware heuristic can achieve considerably lower error than the balance heuristic, while avoiding computational and memory overhead.
DOI of the first publication: 10.1111/cgf.142628
URL of the first publication:
Link to this record: urn:nbn:de:bsz:291--ds-391743
ISSN: 1467-8659
Date of registration: 28-Feb-2023
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Philipp Slusallek
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
There are no files associated with this item.

Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.