Correlation-Aware Semi-Analytic Visibility for Antialiased Rendering

Abstract

Geometric aliasing is a persistent challenge for real-time rendering. Hardware multisampling remains limited to 8x, 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 256x MSAA, faster than 64x MSAA, and constant space per pixel.

Type
Publication
ACM/EG Symposium on High Performance Graphics (HPG), 2018
 Aaron Lefohn
Aaron Lefohn
Team Leader

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