World-Space Spatiotemporal Path Resampling for Path Tracing

dc.contributor.authorZhang, Hangyuen_US
dc.contributor.authorWang, Beibeien_US
dc.contributor.editorChaine, Raphaëlleen_US
dc.contributor.editorDeng, Zhigangen_US
dc.contributor.editorKim, Min H.en_US
dc.date.accessioned2023-10-09T07:37:11Z
dc.date.available2023-10-09T07:37:11Z
dc.date.issued2023
dc.description.abstractWith the advent of hardware-accelerated ray tracing, more and more real-time rendering applications tend to render images with ray-traced global illumination (GI). However, the low sample counts at real-time framerates bring enormous challenges to existing path sampling methods. Recent work (ReSTIR GI) samples indirect illumination effectively with a dramatic bias reduction. However, as a screen-space based path resampling approach, it can only reuse the path at the first bounce and brings subtle benefits for complex scenes. To this end, we propose a world-space based spatiotemporal path resampling approach. Our approach caches more path samples into a world-space grid, which allows reusing sub-path starting from non-primary path vertices. Furthermore, we introduce a practical normal-aware hash grid construction approach, providing more efficient candidate samples for path resampling. Eventually, our method achieves improvements ranging from 16.6% to 41.9% in terms of mean squared errors (MSE) compared against the previous method with only 4.4% ~ 8.4% extra time cost.en_US
dc.description.number7
dc.description.sectionheadersDynamic Scenes
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14974
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14974
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14974
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Computing methodologies -> Rendering; Ray tracing
dc.subjectComputing methodologies
dc.subjectRendering
dc.subjectRay tracing
dc.titleWorld-Space Spatiotemporal Path Resampling for Path Tracingen_US
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