Adaptive Temporal Antialiasing

dc.contributor.author	Marrs, Adam	en_US
dc.contributor.author	Spjut, Josef	en_US
dc.contributor.author	Gruen, Holger	en_US
dc.contributor.author	Sathe, Rahul	en_US
dc.contributor.author	McGuire, Morgan	en_US
dc.contributor.editor	Patney, Anjul and Niessner, Matthias	en_US
dc.date.accessioned	2018-11-11T10:45:52Z
dc.date.available	2018-11-11T10:45:52Z
dc.date.issued	2018
dc.identifier.isbn	978-1-4503-5896-5
dc.identifier.issn	2079-8679
dc.identifier.uri	https://doi.org/10.1145/3231578.3231579
dc.identifier.uri	https://diglib.eg.org:443/handle/10.1145/3231578-3231579
dc.description.abstract	We introduce a pragmatic algorithm for real-time adaptive supersampling in games. It extends temporal antialiasing of rasterized images with adaptive ray tracing, and conforms to the constraints of a commercial game engine and today's GPU ray tracing APIs. The algorithm removes blurring and ghosting artifacts associated with standard temporal antialiasing and achieves quality approaching 8× supersampling of geometry, shading, and materials while staying within the 33ms frame budget required of most games.	en_US
dc.publisher	ACM	en_US
dc.subject	Computing methodologies
dc.subject	Ray tracing
dc.subject	adaptive sampling
dc.subject	supersampling
dc.subject	ray tracing
dc.title	Adaptive Temporal Antialiasing	en_US
dc.description.seriesinformation	Eurographics/ ACM SIGGRAPH Symposium on High Performance Graphics
dc.description.sectionheaders	Anti Aliasing
dc.identifier.doi	10.1145/3231578.3231579