A Survey of Temporal Antialiasing Techniques

dc.contributor.authorYang, Leien_US
dc.contributor.authorLiu, Shiqiuen_US
dc.contributor.authorSalvi, Marcoen_US
dc.contributor.editorMantiuk, Rafal and Sundstedt, Veronicaen_US
dc.date.accessioned2020-05-24T13:44:44Z
dc.date.available2020-05-24T13:44:44Z
dc.date.issued2020
dc.description.abstractTemporal Antialiasing (TAA), formally defined as temporally-amortized supersampling, is the most widely used antialiasing technique in today's real-time renderers and game engines. This survey provides a systematic overview of this technique. We first review the history of TAA, its development path and related work. We then identify the two main sub-components of TAA, sample accumulation and history validation, and discuss algorithmic and implementation options. As temporal upsampling is becoming increasingly relevant to today's game engines, we propose an extension of our TAA formulation to cover a variety of temporal upsampling techniques. Despite the popularity of TAA, there are still significant unresolved technical challenges that affect image quality in many scenarios. We provide an in-depth analysis of these challenges, and review existing techniques for improvements. Finally, we summarize popular algorithms and topics that are closely related to TAA. We believe the rapid advances in those areas may either benefit from or feedback into TAA research and development.en_US
dc.description.documenttypestar
dc.description.number2
dc.description.sectionheadersState of the Art Reports
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.14018
dc.identifier.issn1467-8659
dc.identifier.pages607-621
dc.identifier.urihttps://doi.org/10.1111/cgf.14018
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14018
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.titleA Survey of Temporal Antialiasing Techniquesen_US
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