Two-Level Adaptive Sampling for Illumination Integrals using Bayesian Monte Carlo

Quasi-Monte Carlo rendering techniques (Keller) Interleaved sampling and parallelization, efficient volume rendering, strictly deterministic sampling in RenderMan,

From our experiments with a number of images generated using Monte Carlo methods, we find that the coefficients of the wavelet band of the Monte Carlo noise map in log

While the incorporation of a realistic detector model significantly improves the quality of reconstructions, its computation time is negligible due to the efficient Monte

The first contribution of this thesis is a strategy for producing high quality Quasi- Monte Carlo (QMC) sampling patterns for spherical integration by resorting to spher- ical

text Jonathan Brouillat, Christian Bouville, Brad Loos, Charles Hansen, and Kadi Bouatouch, A bayesian monte carlo approach to global illumination, Computer Graphics Forum 28

Figure 3: Visualizing Monte Carlo estimator for individual pixel with line segment sampling: In the top row, the renderings are generated with N = 9 jittered samples.. The Monte

We achieve this by using regular (quasi-)Monte Carlo path tracing to sample seed paths, followed by a step where the proximity of this seed path is explored by using a stratified

Rendering photo-realistic image sequences using path tracing and Monte Carlo integration often requires sampling a large number of paths to get converged results.. In the context