The SGGX microflake distribution

@article{Heitz2015TheSM,
  title={The SGGX microflake distribution},
  author={Eric Heitz and Jonathan Dupuy and Cyril Crassin and Carsten Dachsbacher},
  journal={ACM Trans. Graph.},
  year={2015},
  volume={34},
  pages={48:1-48:11}
}
We introduce the Symmetric GGX (SGGX) distribution to represent spatially-varying properties of anisotropic microflake participating media. Our key theoretical insight is to represent a microflake distribution by the projected area of the microflakes. We use the projected area to parameterize the shape of an ellipsoid, from which we recover a distribution of normals. The representation based on the projected area allows for robust linear interpolation and prefiltering, and thanks to its… CONTINUE READING

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