Adaptive image space shading for motion and defocus blur
作者： Aaron Lefohn , Solomon Boulos , Robert Toth , Karthik Vaidyanathan , Marco Salvi
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摘要: We present a novel anisotropic sampling algorithm for image space shading which builds upon recent advancements in decoupled stochastic rasterization pipelines. First, we analyze the frequency content of pixel presence motion and defocus blur. use this analysis to derive bounds spectrum surface defined over two-dimensional motion-aligned space. Second, simple that uses new reduce number shaded quads size decoupling cache respectively by 2X 16X, while largely preserving detail minimizing additional aliasing.
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