SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Adaptive radiosity textures for bidirectional ray tracing
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A ray tracing solution for diffuse interreflection
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Realistic image synthesis using photon mapping
Realistic image synthesis using photon mapping
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
Metropolis photon sampling with optional user guidance
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
Sequential sampling for dynamic environment map illumination
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
ACM SIGGRAPH Asia 2008 papers
Efficient Schemes for Monte Carlo Markov Chain Algorithms in Global Illumination
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Adaptive sampling for environment mapping
Proceedings of the 26th Spring Conference on Computer Graphics
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
State of the art in photon density estimation
ACM SIGGRAPH 2012 Courses
Improved stochastic progressive photon mapping with metropolis sampling
EGSR'11 Proceedings of the Twenty-second Eurographics conference on Rendering
Deterministic importance sampling with error diffusion
EGSR'09 Proceedings of the Twentieth Eurographics conference on Rendering
ACM Transactions on Graphics (TOG)
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This work presents a novel global illumination algorithm which concentrates computation on important light transport paths and automatically adjusts energy distributed area for each light transport path. We adapt statistical framework of Population Monte Carlo into global illumination to improve rendering efficiency. Information collected in previous iterations is used to guide subsequent iterations by adapting the kernel function to approximate the target distribution without introducing bias into the final result. Based on this framework, our algorithm automatically adapts the amount of energy redistribution at different pixels and the area over which energy is redistributed. Our results show that the efficiency can be improved by exploring the correlated information among light transport paths.