用于抗锯齿渲染的关联感知半分析可见性

C. Crassin, Chris Wyman, M. McGuire, A. Lefohn
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引用次数: 5

摘要

几何混叠是实时渲染的一个长期挑战。硬件多采样仍然限制在8倍,分析覆盖无法捕获相关的可见性样本,空间和时间后滤波主要针对超像素原语的边缘。我们描述了一种新的覆盖的半解析表示,旨在在处理相关亚像素覆盖的同时,在亚像素基元和包含许多边缘的像素的几何抗混叠方面取得进展。虽然还不够快,但它已经跨越了三个关键阈值:图像质量与256x MSAA相当,比64x MSAA快,每像素的空间是恒定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation-aware semi-analytic visibility for antialiased rendering
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.
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