Moving Basis Decomposition for Precomputed Light Transport

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dc.contributor.authorSilvennoinen, Arien_US
dc.contributor.authorSloan, Peter-Pikeen_US
dc.contributor.editorBousseau, Adrien and McGuire, Morganen_US
dc.date.accessioned2021-07-12T12:09:09Z
dc.date.available2021-07-12T12:09:09Z
dc.date.issued2021
dc.description.abstractWe study the problem of efficient representation of potentially high-dimensional, spatially coherent signals in the context of precomputed light transport. We present a basis decomposition framework, Moving Basis Decomposition (MBD), that generalizes many existing basis expansion methods and enables high-performance, seamless reconstruction of compressed data. We develop an algorithm for solving large-scale MBD problems. We evaluate MBD against state-of-the-art in a series of controlled experiments and describe a real-world application, where MBD serves as the backbone of a scalable global illumination system powering multiple, current and upcoming 60Hz AAA-titles running on a wide range of hardware platforms.en_US
dc.description.number4
dc.description.sectionheadersHigh Performance Rendering
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume40
dc.identifier.doi10.1111/cgf.14346
dc.identifier.issn1467-8659
dc.identifier.pages127-137
dc.identifier.urihttps://doi.org/10.1111/cgf.14346
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14346
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectRendering
dc.subjectImage compression
dc.titleMoving Basis Decomposition for Precomputed Light Transporten_US
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