Two-stage Resampling for Bidirectional Path Tracing with Multiple Light Sub-paths

dc.contributor.authorNabata, Kosukeen_US
dc.contributor.authorIwasaki, Keien_US
dc.contributor.authorDobashi, Yoshinorien_US
dc.contributor.editorEisemann, Elmar and Jacobson, Alec and Zhang, Fang-Lueen_US
dc.date.accessioned2020-10-29T18:50:42Z
dc.date.available2020-10-29T18:50:42Z
dc.date.issued2020
dc.description.abstractRecent advances in bidirectional path tracing (BPT) reveal that the use of multiple light sub-paths and the resampling of a small number of these can improve the efficiency of BPT. By increasing the number of pre-sampled light sub-paths, the possibility of generating light paths that provide large contributions can be better explored and this can alleviate the correlation of light paths due to the reuse of pre-sampled light sub-paths by all eye sub-paths. The increased number of pre-sampled light subpaths, however, also incurs a high computational cost. In this paper, we propose a two-stage resampling method for BPT to efficiently handle a large number of pre-sampled light sub-paths. We also derive a weighting function that can treat the changes in path probability due to the two-stage resampling. Our method can handle a two orders of magnitude larger number of presampled light sub-paths than previous methods in equal-time rendering, resulting in stable and better noise reduction than state-of-the-art methods.en_US
dc.description.number7
dc.description.sectionheadersLights and Ray Tracing
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.14139
dc.identifier.issn1467-8659
dc.identifier.pages219-230
dc.identifier.urihttps://doi.org/10.1111/cgf.14139
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14139
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectComputer graphics
dc.subjectRay tracing
dc.titleTwo-stage Resampling for Bidirectional Path Tracing with Multiple Light Sub-pathsen_US
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