Wavelet Representation and Sampling of Complex Luminaires

dc.contributor.authorAtanasov, Asenen_US
dc.contributor.authorKoylazov, Vladimiren_US
dc.contributor.editorWang, Beibeien_US
dc.contributor.editorWilkie, Alexanderen_US
dc.date.accessioned2025-06-20T07:52:52Z
dc.date.available2025-06-20T07:52:52Z
dc.date.issued2025
dc.description.abstractWe contribute a technique for rendering the illumination of complex luminaires based on wavelet-compressed light fields while the direct appearance of the luminaire is handled with previous techniques. During a brief photon tracing phase, we precompute the radiance field of the luminaire. Then, we employ a compression scheme which is designed to facilitate fast per-ray run-time reconstructions of the field and importance sampling. To treat aliasing, we propose a two-component filtering solution: a 4D Gaussian filter during the pre-computation stage and a 4D stochastic Gaussian filter during rendering. We have developed an importance sampling strategy based on providing an initial guess from low-resolution and low-memory viewpoint samplers that is subsequently refined by a hierarchical process over the wavelet frequency bands. Our technique is straightforward to integrate in rendering systems and has all the features that make it practical for production renderers - MIS compatibility, brief pre-computation, low memory requirements, and efficient field evaluation and importance sampling.en_US
dc.description.number4
dc.description.sectionheadersLight and Brightness
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume44
dc.identifier.doi10.1111/cgf.70163
dc.identifier.issn1467-8659
dc.identifier.pages15 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70163
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70163
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Rendering
dc.subjectComputing methodologies → Rendering
dc.titleWavelet Representation and Sampling of Complex Luminairesen_US
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