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dc.contributor.authorMüller, Thomasen_US
dc.contributor.authorGross, Markusen_US
dc.contributor.authorNovák, Janen_US
dc.contributor.editorZwicker, Matthias and Sander, Pedroen_US
dc.date.accessioned2017-06-19T06:51:12Z
dc.date.available2017-06-19T06:51:12Z
dc.date.issued2017
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13227
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13227
dc.description.abstractWe present a robust, unbiased technique for intelligent light-path construction in path-tracing algorithms. Inspired by existing path-guiding algorithms, our method learns an approximate representation of the scene's spatio-directional radiance field in an unbiased and iterative manner. To that end, we propose an adaptive spatio-directional hybrid data structure, referred to as SD-tree, for storing and sampling incident radiance. The SD-tree consists of an upper part-a binary tree that partitions the 3D spatial domain of the light field-and a lower part-a quadtree that partitions the 2D directional domain. We further present a principled way to automatically budget training and rendering computations to minimize the variance of the final image. Our method does not require tuning hyperparameters, although we allow limiting the memory footprint of the SD-tree. The aforementioned properties, its ease of implementation, and its stable performance make our method compatible with production environments. We demonstrate the merits of our method on scenes with difficult visibility, detailed geometry, and complex specular-glossy light transport, achieving better performance than previous state-of-the-art algorithms.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.7 [Computer Graphics]
dc.subjectThree Dimensional Graphics and Realism
dc.subject
dc.subject
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.titlePractical Path Guiding for Efficient Light-transport Simulationen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersMonte Carlo after Coffee
dc.description.volume36
dc.description.number4
dc.identifier.doi10.1111/cgf.13227
dc.identifier.pages091-100


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  • 36-Issue 4
    Rendering 2017 - Symposium Proceedings

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