Improving Robustness of Monte-Carlo Global Illumination with Directional Regularization

Guillaume Bouchard 1 Jean-Claude Iehl 1 Victor Ostromoukhov 1 Pierre Poulin
1 R3AM - Rendu Réaliste pour la Réalité Augmentée Mobile
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Directional regularization offers great potential to improve the convergence rates of Monte-Carlo-based global illumination algorithms. In this paper, we show how it can be applied successfully by combining unbiased bidirectional strategies, photon mapping, and biased directional regularization.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01339267
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Submitted on : Wednesday, June 29, 2016 - 3:51:01 PM
Last modification on : Wednesday, October 31, 2018 - 12:24:25 PM

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Guillaume Bouchard, Jean-Claude Iehl, Victor Ostromoukhov, Pierre Poulin. Improving Robustness of Monte-Carlo Global Illumination with Directional Regularization. SIGGRAPH-ASIA, Nov 2013, Hong Kong, China. pp.22:1-22:4, ⟨10.1145/2542355.2542383⟩. ⟨hal-01339267⟩

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