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View all- Ostromoukhov VBonneel NCoeurjolly DIehl J(2024)Quad-Optimized Low-Discrepancy SequencesACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657431(1-9)Online publication date: 13-Jul-2024
We present a novel technique for diffusing Monte Carlo sampling error as a blue noise in screen space. We show that automatic diffusion of sampling error can be achieved by ordering the pixels in a way that preserves locality, such as Morton's Z-...
In this paper advanced variance-based algorithms for global sensitivity analysis are studied. We consider efficient algorithms, such as Monte Carlo, quasi-Monte Carlo (QMC) and scrambled quasi-Monte Carlo algorithms based on Sobol sequences. Low ...
We explore the space of (0, m, 2)-nets in base 2 commonly used for sampling. We present a novel constructive algorithm that can exhaustively generate all nets --- up to m-bit resolution --- and thereby compute the exact number of distinct nets. We ...
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