Illumination from curved reflectors
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Machine Learning
Global illumination using photon maps
Proceedings of the eurographics workshop on Rendering techniques '96
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Kernel density estimation with adaptive varying window size
Pattern Recognition Letters
Lighting Reconstruction Using Fast and Adaptive Density Estimation Techniques
Proceedings of the Eurographics Workshop on Rendering Techniques '97
Density Control for Photon Maps
Proceedings of the Eurographics Workshop on Rendering Techniques 2000
Robust monte carlo methods for light transport simulation
Robust monte carlo methods for light transport simulation
Density estimation techniques for global illumination
Density estimation techniques for global illumination
ACM SIGGRAPH Asia 2008 papers
Stochastic progressive photon mapping
ACM SIGGRAPH Asia 2009 papers
Adaptive density estimation using an orthogonal series for global illumination
Computers and Graphics
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ACM SIGGRAPH 2010 papers
Physically Based Rendering, Second Edition: From Theory To Implementation
Physically Based Rendering, Second Edition: From Theory To Implementation
A progressive error estimation framework for photon density estimation
ACM SIGGRAPH Asia 2010 papers
Progressive photon mapping: A probabilistic approach
ACM Transactions on Graphics (TOG)
Robust adaptive photon tracing using photon path visibility
ACM Transactions on Graphics (TOG)
Adaptive sampling and reconstruction using greedy error minimization
Proceedings of the 2011 SIGGRAPH Asia Conference
Proceedings of the 2011 SIGGRAPH Asia Conference
Frequency based kernel estimation for progressive photon mapping
SIGGRAPH Asia 2011 Posters
Bidirectional light transport with vertex merging
SIGGRAPH Asia 2011 Sketches
On the efficiency of on-line density estimators
IEEE Transactions on Information Theory
A path space extension for robust light transport simulation
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Progressive expectation-maximization for hierarchical volumetric photon mapping
EGSR'11 Proceedings of the Twenty-second Eurographics conference on Rendering
Ray maps for global illumination
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
GPU-based out-of-core many-lights rendering
ACM Transactions on Graphics (TOG)
State of the art in photon density estimation
SIGGRAPH Asia 2013 Courses
Special Section on CAD/Graphics 2013: Adaptive importance photon shooting technique
Computers and Graphics
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This article introduces a novel locally adaptive progressive photon mapping technique which optimally balances noise and bias in rendered images to minimize the overall error. It is the result of an analysis of the radiance estimation in progressive photon mapping. As a first step, we establish a connection to the field of recursive estimation and regression in statistics and derive the optimal estimation parameters for the asymptotic convergence of existing approaches. Next, we show how to reformulate photon mapping as a spatial regression in the measurement equation of light transport. This reformulation allows us to derive a novel data-driven bandwidth selection technique for estimating a pixel's measurement. The proposed technique possesses attractive convergence properties with finite numbers of samples, which is important for progressive rendering, and it also provides better results for quasi-converged images. Our results show the practical benefits of using our adaptive method.