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Titel: Efficient Caustic Rendering with Lightweight Photon Mapping
VerfasserIn: Grittmann, Pascal
Pérard-Gayot, Arsène
Slusallek, Philipp
Křivánek, Jaroslav
Sprache: Englisch
Titel: Computer Graphics Forum
Bandnummer: 37
Heft: 4
Seiten: 133-142
Verlag/Plattform: Wiley
Erscheinungsjahr: 2018
DDC-Sachgruppe: 500 Naturwissenschaften
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Robust and efficient rendering of complex lighting effects, such as caustics, remains a challenging task. While algorithms like vertex connection and merging can render such effects robustly, their significant overhead over a simple path tracer is not always justified and – as we show in this paper ‐ also not necessary. In current rendering solutions, caustics often require the user to enable a specialized algorithm, usually a photon mapper, and hand‐tune its parameters. But even with carefully chosen parameters, photon mapping may still trace many photons that the path tracer could sample well enough, or, even worse, that are not visible at all. Our goal is robust, yet lightweight, caustics rendering. To that end, we propose a technique to identify and focus computation on the photon paths that offer significant variance reduction over samples from a path tracer. We apply this technique in a rendering solution combining path tracing and photon mapping. The photon emission is automatically guided towards regions where the photons are useful, i.e., provide substantial variance reduction for the currently rendered image. Our method achieves better photon densities with fewer light paths (and thus photons) than emission guiding approaches based on visual importance. In addition, we automatically determine an appropriate number of photons for a given scene, and the algorithm gracefully degenerates to pure path tracing for scenes that do not benefit from photon mapping.
DOI der Erstveröffentlichung: 10.1111/cgf.13481
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-277532
hdl:20.500.11880/27413
http://dx.doi.org/10.22028/D291-27753
ISSN: 1467-8659
Datum des Eintrags: 26-Apr-2019
EU-Projektnummer: info:eu-repo/grantAgreement/EC/H2020/642841/EU//Distro
Fakultät: MI - Fakultät für Mathematik und Informatik
Fachrichtung: MI - Informatik
Professur: MI - Prof. Dr. Philipp Slusallek
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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