Dynamic Voxel-Based Global Illumination
dc.contributor.author
dc.date.accessioned
2024-10-22T10:14:29Z
dc.date.available
2024-10-22T10:14:29Z
dc.date.issued
2025-02
dc.identifier.issn
0167-7055
dc.identifier.uri
dc.description.abstract
Global illumination computation in real time has been an objective for Computer Graphics since its inception. Unfortunately, its implementation has challenged up to now the most advanced hardware and software solutions. We propose a real-time voxel-based global illumination solution for a single light bounce that handles static and dynamic objects with diffuse materials under a dynamic light source. The combination of ray tracing and voxelization on the GPU offers scalability and performance. Our divide-and-win approach, which ray traces separately static and dynamic objects, reduces the re-computation load with updates of any number of dynamic objects. Our results demonstrate the effectiveness of our approach, allowing the real-time display of global illumination effects, including colour bleeding and indirect shadows, for complex scenes containing millions of polygons
dc.description.sponsorship
This research was partially funded by Grant PID2021-122136OB-C22 funded by MICIU/AEI/10.13039/501100011033, by ERDF A way of making Europe and by grant RGPIN-2020-05117 from Natural Sciences and Engineering Research Council of Canada.
Open Access funding provided thanks to the CRUE-CSIC agreement with Wiley
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Wiley
dc.relation
PID2021-122136OB-C22
dc.relation.isformatof
Reproducció digital del document publicat a: https://doi.org/10.1111/cgf.15262
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Computer Graphics Forum, 2025, vol. 44, núm. 1, p. e15262
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Articles publicats (D-IMA)
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri
dc.subject
dc.title
Dynamic Voxel-Based Global Illumination
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122136OB-C22/ES/ENTORNOS 3D DE ALTA FIDELIDAD PARA REALIDAD VIRTUAL Y COMPUTACION VISUAL: MODELADO DE APARIENCIA Y VISUALIZACION PARA PATRIMONIO CULTURAL Y APLICACIONES DE NEUROCIENCIA/
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.contributor.funder
dc.type.peerreviewed
peer-reviewed
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dc.relation.ProjectAcronym
dc.identifier.eissn
1467-8659