Practical Path Guiding

For my Google Summer of Code project proposal I suggest implementing the technique described in the paper “Practical Path Guiding for Efficient Light-Transport Simulation” by Thomas Müller, Markus Gross and Jan Novák. The authors describe an iterative process to learn and approximate a scene’s spatial and directional radiance distribution in a tree structure they call SD-Tree. The learned approximation is utilized for path guiding, i.e. the importance sampling of incident radiance for intelligent path construction.