Low-Discrepancy Blue Noise Sampling
Super fast Low-discrepancy + Blue noise 2D sampler.
Single C++ header with no dependencies to generate 2D point sets which have both low discrepancy and Blue-Noise properties. This code is a c++ refactoring of the implementation given by the following paper (Project page):
Low-Discrepancy Blue Noise Sampling. Abdalla G.M. Ahmed, Hélène Perrier, David Coeurjolly, Victor Ostromoukhov, Jianwei Guo, Dong-Ming Yan, Hui HUANG, Oliver Deussen. ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 35(6), 2016.
The current code can generate point sets for the Blue-noise and Step target spectra in a very efficient way (~2.14ms for 1M points! , cf the paper for more details).
/* * Reference-matching code for LDBN in the paper: * Ahmed, Perrier, Coeurjolly, Ostromoukhov, Guo, Yan, Huang, and Deussen * Low-Discrepancy Blue Noise Sampling * SIGGRAPH Asia 2016 * * Coded by Abdalla G. M. Ahmed, 2016-09-19. * Copyright (c) 2016, Abdalla G. M. Ahmed * All rights reserved. * * Refactoring by David Coeurjolly 2018-11-22 * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, this * list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * The views and conclusions contained in the software and documentation are those * of the authors and should not be interpreted as representing official policies, * either expressed or implied, of the LDBN project. */