Stochastic Rasterization - GPU Technology Conference 2012

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<strong>Stochastic</strong> Shadow Map10z
<strong>Stochastic</strong> Shadow Map• Every pixel looks the same— S z-values— z’s not sorted• Look-up is just PCF— S comparisons per shadow-map pixel• Color, better reconstruction filter in [CSSM paper]
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Stochastic RasterizationEric Endert
Page 4 and 5: 60 fps on Geforce GT 280
Page 6 and 7: Stochastic Rasterization• The sam
Page 8 and 9: MSAA(Kayvon Fatahalian, “Beyond P
Page 10 and 11: Motion Blur
Page 12 and 13: (2+1)D2D RasterizationGeometry Shad
Page 14 and 15: Extending an Existing RendererC++ H
Page 16 and 17: Extreme Example of z = 0 Case16
Page 18 and 19: Extreme Example of z = 0 Case18
Page 20 and 21: Integration with MSAA• Perform ra
Page 22 and 23: Multisample Rate: 1x22
Page 29 and 30: AABBConvex Hull29Sample Test Effici
Page 31 and 32: New Bounding Geometry
Page 38 and 39: Stochastic Transparency
Page 40 and 41: Order dependent
Page 42 and 43: cf. [Fuchs et al 1995]
Page 44 and 45: Stochastic TransparencyScreen-door
Page 46 and 47: (Reference)
Page 48 and 49: 16 spp
Page 50 and 51: 64 spp
Page 53: Stochastic Shadow Map• Run Stocha
Page 57: Depth-based Stochastic Transparency
Page 60 and 61: Advanced Topics• Stratified sampl
Page 63 and 64: Backup
Page 65: Transparency without sortingPorter-
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Stochastic Rasterization - GPU Technology Conference 2012

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