Unbiased sampling techniques for image synthesis
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Measuring and modeling anisotropic reflection
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Generalization of Lambert's reflectance model
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Optimally combining sampling techniques for Monte Carlo rendering
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Consequences of stratified sampling in graphics
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Non-linear approximation of reflectance functions
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the conference on Graphics interface '97
An anisotropic phong BRDF model
Journal of Graphics Tools
Illumination for computer generated pictures
Communications of the ACM
Models of light reflection for computer synthesized pictures
SIGGRAPH '77 Proceedings of the 4th annual conference on Computer graphics and interactive techniques
Summed-area tables for texture mapping
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Structured importance sampling of environment maps
ACM SIGGRAPH 2003 Papers
Efficient illumination by high dynamic range images
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Physically Based Rendering: From Theory to Implementation
Physically Based Rendering: From Theory to Implementation
Fast hierarchical importance sampling with blue noise properties
ACM SIGGRAPH 2004 Papers
Efficient BRDF importance sampling using a factored representation
ACM SIGGRAPH 2004 Papers
Wavelet importance sampling: efficiently evaluating products of complex functions
ACM SIGGRAPH 2005 Papers
A median cut algorithm for light probe sampling
SIGGRAPH '05 ACM SIGGRAPH 2005 Posters
Importance resampling for global illumination
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
Bidirectional importance sampling for direct illumination
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
Incremental wavelet importance sampling for direct illumination
Proceedings of the 2007 ACM symposium on Virtual reality software and technology
Precomputed importance sampling
ACM SIGGRAPH 2008 posters
Variance minimization light probe sampling
SIGGRAPH '09: Posters
Adaptive sampling for environment mapping
Proceedings of the 26th Spring Conference on Computer Graphics
Technical Section: Importance sampling for volumetric illumination of flames
Computers and Graphics
Importance Caching for Complex Illumination
Computer Graphics Forum
Advanced (quasi) Monte Carlo methods for image synthesis
ACM SIGGRAPH 2012 Courses
Table-driven adaptive importance sampling
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
Exploiting visibility correlation in direct illumination
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
Real-time shading with filtered importance sampling
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
Importance point projection for GPU-based final gathering
EGSR'11 Proceedings of the Twenty-second Eurographics conference on Rendering
Interactive illumination with coherent shadow maps
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
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We describe an importance sampling method to generate samples based on the product of a BRDF and an environment map or large light source. The method works by creating a hierarchical partition of the light source based on the BRDF function for each primary (eye) ray in a ray tracer. This partition, along with a summed area table of the light source, form an approximation to the product function that is suitable for importance sampling. The partition is used to guide a sample warping algorithm to transform a uniform distribution of points so that they approximate the product distribution. The technique is unbiased, requires little precomputation, and we demonstrate that it works well for a variety of BRDF types. Further, we present an adaptive method which allocates varying numbers of samples to different image pixels to reduce shadow artifacts.