Importance Point Projection for GPU-based Final Gathering

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dc.contributor.authorMaletz, Daviden_US
dc.contributor.authorWang, Ruien_US
dc.contributor.editorRavi Ramamoorthi and Erik Reinharden_US
dc.date.accessioned2015-02-27T14:45:42Z
dc.date.available2015-02-27T14:45:42Z
dc.date.issued2011en_US
dc.description.abstractWe present a practical importance-driven method for GPU-based final gathering. We take as input a point cloud representing directly illuminated scene geometry; we then project and splat the points to microbuffers, which store each shading pixel's occluded radiance field. We select points for projection based on importance, defined as each point's estimated contribution to a shading pixel. For each selected point, we calculate its splat size adaptively based on its importance value. The main advantage of our method is that it's simple and fast, and provides the capability to incorporate additional importance factors such as glossy reflection paths. We also introduce an image-space adaptive sampling method, which combines adaptive image subdivision with joint bilateral upsampling to robustly preserve fine details. We have implemented our algorithm on the GPU, providing high-quality rendering for dynamic scenes at near interactive rates.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.doi10.1111/j.1467-8659.2011.01992.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2011.01992.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleImportance Point Projection for GPU-based Final Gatheringen_US
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EGSR11: 22th Eurographics Symposium on Rendering