Adaptive BRDF-Oriented Multiple Importance Sampling of Many Lights

dc.contributor.authorLiu, Yifanen_US
dc.contributor.authorXu, Kunen_US
dc.contributor.authorYan, Ling-Qien_US
dc.contributor.editorBoubekeur, Tamy and Sen, Pradeepen_US
dc.date.accessioned2019-07-14T19:24:34Z
dc.date.available2019-07-14T19:24:34Z
dc.date.issued2019
dc.description.abstractMany-light rendering is becoming more common and important as rendering goes into the next level of complexity. However, to calculate the illumination under many lights, state of the art algorithms are still far from efficient, due to the separate consideration of light sampling and BRDF sampling. To deal with the inefficiency of many-light rendering, we present a novel light sampling method named BRDF-oriented light sampling, which selects lights based on importance values estimated using the BRDF's contributions. Our BRDF-oriented light sampling method works naturally with MIS, and allows us to dynamically determine the number of samples allocated for different sampling techniques. With our method, we can achieve a significantly faster convergence to the ground truth results, both perceptually and numerically, as compared to previous many-light rendering algorithms.en_US
dc.description.number4
dc.description.sectionheadersLight Transport
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume38
dc.identifier.doi10.1111/cgf.13776
dc.identifier.issn1467-8659
dc.identifier.pages123-133
dc.identifier.urihttps://doi.org/10.1111/cgf.13776
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13776
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectRay tracing
dc.titleAdaptive BRDF-Oriented Multiple Importance Sampling of Many Lightsen_US
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