Photorealistic Image Rendering with Population Monte Carlo Energy Redistribution
  Yu-Chi Lai     Shaohau Fan     Stephen Chenney     Charcles Dyer  
Yu-Chi Lai, Shaohua Fan, Stephen Chenney, Charles Dyer "Photorealistic Image Rendering with Population Monte Carlo Energy Redistribution", Eurographics Symposium on Rendering, 2007, pp. 287–296.
Abstract

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.

Bibtex

@inproceedings{Lai2007,

author = {Lai, Yu-Chi and Fan, Shao Hua and Chenney, Stephen and Dyer, Charcle},

title = {Photorealistic image rendering with population monte carlo energy redistribution},

booktitle = {Proceedings of the 18th Eurographics conference on Rendering Techniques},

series = {EGSR'07},

year = {2007},

pages = {287--295},

numpages = {9}, }

PDF