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doi:10.22028/D291-39174
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: | https://onlinelibrary.wiley.com/doi/full/10.1111/cgf.142628 |
Link to this record: | urn:nbn:de:bsz:291--ds-391743 hdl:20.500.11880/35318 http://dx.doi.org/10.22028/D291-39174 |
ISSN: | 1467-8659 0167-7055 |
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 |
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