Interactive Stable Ray Tracing

Alessandro Dal Corso, Marco Salvi, Craig Kolb, Jeppe Revall Frisvad, Aaron Lefohn, David Luebke

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Interactive ray tracing applications running on commodity hardware can suffer from objectionable temporal artifacts due to a low sample count. We introduce stable ray tracing, a technique that improves temporal stability without the over-blurring and ghosting artifacts typical of temporal post-processing filters. Our technique
is based on sample reprojection and explicit hole filling, rather than relying on hole-filling heuristics that can compromise image quality. We make reprojection practical in an interactive ray tracing context through the use of a super-resolution bitmask to estimate screen space sample density. We show signi€cantly improved temporal stability as compared with supersampling and an existing reprojection techniques. We also investigate the performance and image quality differences between our technique and temporal antialiasing, which typically incurs a signiffcant amount of blur. Finally, we demonstrate the benefits of stable ray tracing by combining it with progressive path tracing of indirect illumination
Original languageEnglish
Title of host publicationHPG '17 Proceedings of High Performance Graphics
Number of pages10
PublisherAssociation for Computing Machinery
Publication date2017
ISBN (Print)978-1-4503-5101-0
Publication statusPublished - 2017
EventHigh-Performance Graphics 2017 - Sheraton Grand Los Angeles, Los Angeles, United States
Duration: 28 Jul 201730 Jul 2017


ConferenceHigh-Performance Graphics 2017
LocationSheraton Grand Los Angeles
Country/TerritoryUnited States
CityLos Angeles


  • Reprojection
  • Dynamic scene
  • Caching
  • Temporal stability
  • GPU


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