Deep Learning Methods for Global Illumination Transport in Computer Graphics KU Leuven
The global illumination light transport problem is a longstanding problem in computer graphics. Given the description of a 3D virtual scene, a photo-realistic image is generated. The state-of-the-art algorithms are all based Monte Carlo integration techniques. Recent advances in image synthesis have included machine learning principles such that the computational effort per pixel can be reduced. These techniques are often aimed at stochastic ...