Stochastic Rasterization - GPU Technology Conference 2012

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<strong>Stochastic</strong> TransparencyScreen-door + multi-sampling + random masks.• Correct on average• All cases unified in a single algorithm— Foliage, Smoke, Hair, Glass, mixtures• One order-independent pass over the geometry• Small fixed space (one MSAA frame buffer)• But, noise
MSAA helps• Get S = 8*P samples per pixel, in P passes• Pixel Shader sets 8-bit mask as pseudo-random function ofalpha, x, y, prim ID.• Spatial AA with the same samples• Shading rate stays 1/fragment
Page 1 and 2: 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 46 and 47: (Reference)
Page 48 and 49: 16 spp
Page 50 and 51: 64 spp
Page 53 and 54: Stochastic Shadow Map• Run Stocha
Page 55 and 56: Stochastic Shadow Map• Every pixe
Page 57: Depth-based Stochastic Transparency
Page 60 and 61: Advanced Topics• Stratified sampl
Page 63 and 64: Backup
Page 65: Transparency without sortingPorter-

Stochastic Rasterization - GPU Technology Conference 2012

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