Optimally combining sampling techniques for Monte Carlo rendering
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Efficient simulation of light transport in scenes with participating media using photon maps
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Realistic image synthesis using photon mapping
Realistic image synthesis using photon mapping
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Metropolis Light Transport for Participating Media
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
Physically Based Rendering: From Theory to Implementation
Physically Based Rendering: From Theory to Implementation
Energy redistribution path tracing
ACM SIGGRAPH 2005 Papers
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Lighting Details Preserving Photon Density Estimation
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
ACM SIGGRAPH Asia 2008 papers
Stochastic progressive photon mapping
ACM SIGGRAPH Asia 2009 papers
A progressive error estimation framework for photon density estimation
ACM SIGGRAPH Asia 2010 papers
Proceedings of the 2011 SIGGRAPH Asia Conference
Bidirectional light transport with vertex merging
SIGGRAPH Asia 2011 Sketches
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Virtual ray lights for rendering scenes with participating media
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Selective Inspection and Interactive Visualization of Light Transport in Virtual Scenes
Computer Graphics Forum
Stochastic Progressive Photon Mapping for Dynamic Scenes
Computer Graphics Forum
Progressive volume photon tracing
ACM SIGGRAPH 2012 Talks
State of the art in photon density estimation
ACM SIGGRAPH 2012 Courses
Progressive Virtual Beam Lights
Computer Graphics Forum
A path space extension for robust light transport simulation
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Light transport simulation with vertex connection and merging
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Improved stochastic progressive photon mapping with metropolis sampling
EGSR'11 Proceedings of the Twenty-second Eurographics conference on Rendering
Approximate Bias Compensation for Rendering Scenes with Heterogeneous Participating Media
Computer Graphics Forum
ACM Transactions on Graphics (TOG)
Adaptive progressive photon mapping
ACM Transactions on Graphics (TOG)
Performance improvement of physically based spectral rendering using stochastic sampling
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
Visibility-driven progressive volume photon tracing
The Visual Computer: International Journal of Computer Graphics
Technical Section: Interactive high fidelity visualization of complex materials on the GPU
Computers and Graphics
Rendering scenes with participating media based on RBFs for photon mapping using graphics hardware
Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
State of the art in photon density estimation
SIGGRAPH Asia 2013 Courses
Improving robustness of Monte-Carlo global illumination with directional regularization
SIGGRAPH Asia 2013 Technical Briefs
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In this article we present a novel formulation of progressive photon mapping. Similar to the original progressive photon mapping algorithm, our approach is capable of computing global illumination solutions without bias in the limit, and it uses only a constant amount of memory. It produces high-quality results in situations that are difficult for most other algorithms, such as scenes with realistic light fixtures where the light sources are completely enclosed by refractive material. Our new formulation is based on a probabilistic derivation. The key property of our approach is that it does not require the maintenance of local photon statistics. In addition, our derivation allows for arbitrary kernels in the radiance estimate and includes stochastic ray tracing algorithms. Finally, our approach is readily applicable to volumetric photon mapping. We compare our algorithm to previous progressive photon mapping approaches and show that we achieve the same convergence to unbiased results, even without local photon statistics.