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SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
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Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Faster photon map global illumination
Journal of Graphics Tools
NPAR '02 Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering
Density Control for Photon Maps
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Energy redistribution path tracing
ACM SIGGRAPH 2005 Papers
Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia
ACM SIGGRAPH Asia 2008 papers
Capacity-constrained point distributions: a variant of Lloyd's method
ACM SIGGRAPH 2009 papers
Stochastic progressive photon mapping
ACM SIGGRAPH Asia 2009 papers
Progressive photon mapping: A probabilistic approach
ACM Transactions on Graphics (TOG)
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Mixing Monte Carlo and progressive rendering for improved global illumination
The Visual Computer: International Journal of Computer Graphics - CGI'2012 Conference
Photorealistic image rendering with population monte carlo energy redistribution
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
ACM Transactions on Graphics (TOG)
State of the art in photon density estimation
SIGGRAPH Asia 2013 Courses
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We introduce a novel algorithm for progressively removing noise from view-independent photon maps while simultaneously minimizing residual bias. Our method refines a primal set of photons using data from multiple successive passes to estimate the incident flux local to each photon. We show how this information can be used to guide a relaxation step with the goal of enforcing a constant, per-photon flux. Using a reformulation of the radiance estimate, we demonstrate how the resulting blue noise photon distribution yields a radiance reconstruction in which error is significantly reduced. Our approach has an open-ended runtime of the same order as unbiased and asymptotically consistent rendering methods, converging over time to a stable result. We demonstrate its effectiveness at storing caustic illumination within a view-independent framework and at a fidelity visually comparable to reference images rendered using progressive photon mapping.