132 citations · 132 across the 1 of their papers we have counts for
3 papers
Real-time Neural Radiance Caching for Path Tracing
Thomas Müller, Fabrice Rousselle, Jan Novák +1
We present a real-time neural radiance caching method for path-traced global illumination. Our system is designed to handle fully dynamic scenes, and makes no assumptions about the…
Neural Control Variates
Thomas Müller, Fabrice Rousselle, Jan Novák +1
We propose neural control variates (NCV) for unbiased variance reduction in parametric Monte Carlo integration. So far, the core challenge of applying the method of control variate…
Neural Importance Sampling
Thomas Müller, Brian McWilliams, Fabrice Rousselle +2
We propose to use deep neural networks for generating samples in Monte Carlo integration. Our work is based on non-linear independent components estimation (NICE), which we extend…