SIGGRAPH '86 Proceedings of the 13th 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
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
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Energy redistribution path tracing
ACM SIGGRAPH 2005 Papers
Advanced Global Illumination
All of Nonparametric Statistics (Springer Texts in Statistics)
All of Nonparametric Statistics (Springer Texts in Statistics)
ACM SIGGRAPH Asia 2008 papers
Combining global and local virtual lights for detailed glossy illumination
ACM SIGGRAPH Asia 2010 papers
A progressive error estimation framework for photon density estimation
ACM SIGGRAPH Asia 2010 papers
Parallel progressive photon mapping on GPUs
ACM SIGGRAPH ASIA 2010 Sketches
Progressive photon mapping: A probabilistic approach
ACM Transactions on Graphics (TOG)
Robust adaptive photon tracing using photon path visibility
ACM Transactions on Graphics (TOG)
Proceedings of the 2011 SIGGRAPH Asia Conference
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
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
Radiance filtering for interactive path tracing
ACM SIGGRAPH 2012 Posters
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
kANN on the GPU with shifted sorting
EGGH-HPG'12 Proceedings of the Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics
Improving photon mapping towards an interactive stage lighting framework
EGVE - JVRC'10 Proceedings of the 16th Eurographics conference on Virtual Environments & Second Joint Virtual Reality
ACM Transactions on Graphics (TOG)
Perceptual importance of lighting phenomena in rendering of animated water
ACM Transactions on Applied Perception (TAP)
Adaptive progressive photon mapping
ACM Transactions on Graphics (TOG)
Path-space manipulation of physically-based light transport
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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
Special Section on CAD/Graphics 2013: Adaptive importance photon shooting technique
Computers and Graphics
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This paper presents a simple extension of progressive photon mapping for simulating global illumination with effects such as depth-of-field, motion blur, and glossy reflections. Progressive photon mapping is a robust global illumination algorithm that can handle complex illumination settings including specular-diffuse-specular paths. The algorithm can compute the correct radiance value at a point in the limit. However, progressive photon mapping is not effective at rendering distributed ray tracing effects, such as depth-of-field, that requires multiple pixel samples in order to compute the correct average radiance value over a region. In this paper, we introduce a new formulation of progressive photon mapping, called stochastic progressive photon mapping, which makes it possible to compute the correct average radiance value for a region. The key idea is to use shared photon statistics within the region rather than isolated photon statistics at a point. The algorithm is easy to implement, and our results demonstrate how it efficiently handles scenes with distributed ray tracing effects, while maintaining the robustness of progressive photon mapping in scenes with complex lighting.