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hal.structure.identifierInstitut d'Optique Graduate School [IOGS]
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
dc.contributor.authorMURRAY, David
hal.structure.identifierInstitut d'Optique Graduate School [IOGS]
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
dc.contributor.authorFICHET, Alban
hal.structure.identifierInstitut d'Optique Graduate School [IOGS]
hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
dc.contributor.authorPACANOWSKI, Romain
dc.date.accessioned2023-05-12T10:35:53Z
dc.date.available2023-05-12T10:35:53Z
dc.date.issued2021
dc.identifier.isbn978-1-4842-7185-8
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/181503
dc.description.abstractEnCurrent graphic processing units (GPU) in conjunction with specialized APIs open the possibility of interactive path tracing. Spectral rendering is necessary for accurate and predictive light transport simulation, especially to render specific phenomena such as light dispersion. However, it requires larger assets than traditional RGB rendering pipelines. Thanks to the increase of available onboard memory on newer graphic cards, it becomes possible to load larger assets onto the GPU, making spectral rendering feasible. In this chapter, we describe the strengths of spectral rendering and present our approach for implementing a spectral path tracer on the GPU. We also propose solutions to limit the impact on memory when handling finely sampled spectra or large scenes.
dc.description.sponsorshipDesign virtuel et industriel pour l'apparence des matériaux - ANR-17-CE23-0017
dc.language.isoen
dc.publisherSpringer
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/
dc.source.titleRay Tracing Gems II
dc.title.enEfficient Spectral Rendering on the GPU for Predictive Rendering
dc.typeChapitre d'ouvrage
dc.identifier.doi10.1007/978-1-4842-7185-8_42
dc.subject.halInformatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR]
bordeaux.page673 - 698
bordeaux.hal.laboratoriesLaboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
hal.identifierhal-03331619
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03331619v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Ray%20Tracing%20Gems%20II&rft.date=2021&rft.spage=673%20-%20698&rft.epage=673%20-%20698&rft.au=MURRAY,%20David&FICHET,%20Alban&PACANOWSKI,%20Romain&rft.isbn=978-1-4842-7185-8&rft.genre=unknown


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