Measuring and modeling anisotropic reflection
SIGGRAPH '92 Proceedings of the 19th 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
Monte Carlo techniques for direct lighting calculations
ACM Transactions on Graphics (TOG)
Proceedings of the 24th 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
Global illumination using photon maps
Proceedings of the eurographics workshop on Rendering techniques '96
An anisotropic phong BRDF model
Journal of Graphics Tools
Local illumination environments for direct lighting acceleration
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Importance sampling with hemispherical particle footprints
SCCG '02 Proceedings of the 18th spring conference on Computer graphics
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
Energy redistribution path tracing
ACM SIGGRAPH 2005 Papers
Accurate Direct Illumination Using Iterative Adaptive Sampling
IEEE Transactions on Visualization and Computer Graphics
ACM SIGGRAPH 2006 Papers
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
Two stage importance sampling for direct lighting
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Importance Caching for Complex Illumination
Computer Graphics Forum
Spatial directional radiance caching
EGSR'09 Proceedings of the Twentieth Eurographics conference on Rendering
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Monte Carlo rendering algorithms generally rely on some form of importance sampling to evaluate the measurement equation. Most of these importance sampling methods only take local information into account, however, so the actual importance function used may not closely resemble the light distribution in the scene. In this paper, we present Table-driven Adaptive Importance Sampling (TAIS), a sampling technique that augments existing importance functions with tabular importance maps that direct sampling towards undersampled regions of path space. The importance maps are constructed lazily, relying on information gathered during the course of sampling. During sampling the importance maps act either in parallel with or as a preprocess to existing importance sampling methods. We show that our adaptive importance maps can be effective at reducing variance in a number of rendering situations.