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Adaptive sampling and reconstruction using greedy error minimization
2011
Proceedings of the 2011 SIGGRAPH Asia Conference on - SA '11
Figure 1 : We minimize MSE in Monte Carlo rendering by adaptive sampling and reconstruction in image space. We iterate over two steps: given current samples, optimize over a set of filters at each pixel to minimize MSE; then, given a filter at each pixel, distribute more samples to further reduce MSE. Left: initialization with 4 samples per pixel. Insets: each column is one iteration (top to bottom): filter selection (smooth filters shaded white, sharp ones black), sample density map,
doi:10.1145/2070752.2024193
fatcat:zwytozflfzfdxnpbhdkjbkf4xm