Improving robustness of Monte-Carlo global illumination with directional regularization
Guillaume Bouchard, Jean‐Claude Iehl, Victor Ostromoukhov, Pierre Poulin · 2013
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.