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dc.contributor.authorChaitanya, Chakravarty Reddy Allaen_US
dc.contributor.authorBelcour, Laurenten_US
dc.contributor.authorHachisuka, Toshiyaen_US
dc.contributor.authorPremoze, Simonen_US
dc.contributor.authorPantaleoni, Jacopoen_US
dc.contributor.authorNowrouzezahrai, Dereken_US
dc.contributor.editorJakob, Wenzel and Hachisuka, Toshiyaen_US
dc.date.accessioned2018-07-01T07:32:42Z
dc.date.available2018-07-01T07:32:42Z
dc.date.issued2018
dc.identifier.isbn978-3-03868-068-0
dc.identifier.issn1727-3463
dc.identifier.urihttps://doi.org/10.2312/sre.20181169
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/sre20181169
dc.description.abstractSampled paths in Monte Carlo ray tracing can be arbitrarily close to each other due to its stochastic nature. Such clumped samples in the path space tend to contribute little toward an accurate estimate of each pixel. Bidirectional light transport methods make this issue further complicated since connecting paths of sampled subpaths can be arbitrarily clumped again. We propose a matrix formulation of bidirectional light transport that enables stratification (and low-discrepancy sampling) in this connection space. This stratification allows us to distribute computation evenly across contributing paths in the image, which is not possible with standard bidirectional or Markov chain solutions. Each element in our matrix formulation represents a pair of connected eye- and light-subpaths. By carefully reordering these elements, we build a 2D space where equally contributing paths are distributed coherently. We devise an unbiased rendering algorithm that leverages this coherence to effectively sample path space, consistently achieving a 2-3x speedup in radiometrically complex scenes compared to the state-of-the-art.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectRay tracing
dc.titleMatrix Bidirectional Path Tracingen_US
dc.description.seriesinformationEurographics Symposium on Rendering - Experimental Ideas & Implementations
dc.description.sectionheadersRendering Techniques I
dc.identifier.doi10.2312/sre.20181169
dc.identifier.pages23-32


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