Efficient BRDF importance sampling using a factored representation

@inproceedings{Lawrence2004EfficientBI,
  title={Efficient BRDF importance sampling using a factored representation},
  author={Jason Lawrence and Szymon Rusinkiewicz and Ravi Ramamoorthi},
  booktitle={SIGGRAPH '04},
  year={2004}
}
High-quality Monte Carlo image synthesis requires the ability to importance sample realistic BRDF models. However, analytic sampling algorithms exist only for the Phong model and its derivatives such as Lafortune and Blinn-Phong. This paper demonstrates an importance sampling technique for a wide range of BRDFs, including complex analytic models such as Cook-Torrance and measured materials, which are being increasingly used for realistic image synthesis. Our approach is based on a compact… CONTINUE READING
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