Correlation-Aware Semi-Analytic Visibility for Antialiased Rendering
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
ACM
Abstract
Geometric aliasing is a persistent challenge for real-time rendering. Hardware multisampling remains limited to 8×, analytic coverage fails to capture correlated visibility samples, and spatial and temporal postfiltering primarily target edges of superpixel primitives. We describe a novel semi-analytic representation of coverage designed to make progress on geometric antialiasing for subpixel primitives and pixels containing many edges while handling correlated subpixel coverage. Although not yet fast enough to deploy, it crosses three critical thresholds: image quality comparable to 256× MSAA, faster than 64× MSAA, and constant space per pixel.
Description
@inproceedings{10.1145:3231578.3231584,
booktitle = {Eurographics/ ACM SIGGRAPH Symposium on High Performance Graphics},
editor = {Patney, Anjul and Niessner, Matthias},
title = {{Correlation-Aware Semi-Analytic Visibility for Antialiased Rendering}},
author = {Crassin, Cyril and Wyman, Chris and McGuire, Morgan and Lefohn, Aaron},
year = {2018},
publisher = {ACM},
ISSN = {2079-8679},
ISBN = {978-1-4503-5896-5},
DOI = {10.1145/3231578.3231584}
}