P. The, 2 1.2 Different artefacts observed when rendering a scene using different sampling strate- gies, 1971.
URL : https://hal.archives-ouvertes.fr/hal-00093311

.. Comparison-of-convergence-speeds, 32 3.1 Characteristics of a Whitenoise sampler 36 3.2 Comparison between a Whitenoise point set and a Stratified point set, p.37

A. Shuffling-canonical, 39 3.6 Characteristics of a N-Rooks sampler, 39 3.7 Characteristics of a Correlated Multi Jitter sampler [Ken13]. . . . . . . . . . . . . 40 3

. Morton, Each morton code of a child cell is obtained by adding a suffix to its parent code (left) The adaptive representation consists of quadtree cells whose depth is view point dependent (middle). Finally, adaptive Marching Cubes is used to generate the triangulation (right), p.177

). Geforce and G. , 183 B.8 Timings in milliseconds (in logscale) obtained while visualizing an adaptive triangulation on three objects ? " OctaFlower " (digital domain of 130 3 ) Snow microstructures " (233 3 ) and " XYZ-Dragon " (510 3 ) ? by computing the curvature with a regular grid (left) and with hierarchical algorithm (right), with two different radii for each object In orange color: time required to extract the triangulation In blue color: time required to compute the curvature tensor at different levels: from l 4 (light blue) to l 0 (dark blue) Timings are given using a 184 B.9 Left column: Mean curvature, first and second principal directions and normal vector field estimation on " Snow microstructures Right column: Mean curvature, first and second principal directions and normal vector field estimation on " XYZ-Dragon Normal vectors are colored with a mapping of their component to RGB color space AA patterns for point sets with controlled spectral properties, In: ACM Transactions on Graphics, vol.36, issue.52, pp.212-155, 2015.

G. Abdalla, J. Ahmed, D. Guo, and . Yan, A simple push-pull algorithm for blue-noise sampling, IEEE transactions on visualization and computer graphics, 2016.

G. Abdalla, H. Ahmed, D. Perrier, and . Coeurjolly, Low-discrepancy blue noise sampling, In: ACM Transactions on Graphics (TOG), vol.356, issue.103, p.247, 2016.

A. Ahmed, T. Nies, H. Huang, and O. Deussen, An adaptive point sampler on a regular lattice, Proc. of SIGGRAPH 2017 36, pp.1-138, 2017.
DOI : 10.1111/j.1467-8659.2009.01521.x

P. Alliez, É. Colin-de-verdière, O. Devillers, and M. Isenburg, Centroidal Voronoi diagrams for isotropic surface remeshing, Graphical Models, vol.67, issue.3, pp.204-231, 2005.
DOI : 10.1016/j.gmod.2004.06.007

URL : https://hal.archives-ouvertes.fr/hal-00787166

M. Balzer, T. Schlömer, and O. Deussen, Capacity-constrained point distributions: a variant of Lloyd's method, p.54, 2009.
DOI : 10.1145/1576246.1531392

R. Newbold-bracewell, N. Ronald, and . Bracewell, The Fourier transform and its applications, 1986.

E. Bruneton and F. Neyret, A Survey of Nonlinear Prefiltering Methods for Efficient and Accurate Surface Shading, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.2, pp.242-260, 2012.
DOI : 10.1109/TVCG.2011.81

URL : https://hal.archives-ouvertes.fr/inria-00589940

J. Bowers, R. Wang, L. Wei, and D. Maletz, Parallel Poisson disk sampling with spectrum analysis on surfaces, In: ACM Transactions on Graphics (TOG), vol.29
DOI : 10.1145/1866158.1866188

URL : http://www.liyiwei.org/papers/poisson-siga10/paper.pdf

R. Bridson, Fast Poisson disk sampling in arbitrary dimensions, ACM SIGGRAPH 2007 sketches on, SIGGRAPH '07, p.22, 2007.
DOI : 10.1145/1278780.1278807

R. Chen and C. Gotsman, Parallel Blue-noise Sampling by Constrained Farthest Point Optimization, Computer Graphics Forum, vol.35, issue.5, pp.1775-1785, 2012.
DOI : 10.1016/j.cag.2011.03.031

URL : http://www.cs.technion.ac.il/~gotsman/AmendedPubl/Renjie/SGP12.pdf

Z. Chen, Z. Yuan, Y. Choi, L. Liu, and W. Wang, Variational Blue Noise Sampling, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.10, pp.1784-1796, 2012.
DOI : 10.1109/TVCG.2012.94

URL : http://graphics.xmu.edu.cn/projects/VariationalBlueNoiseSampling/TVCG_VariationalBlueNoiseSampling_big.pdf

[. Chiu, P. Shirley, and C. Wang, Multi-Jittered Sampling, Graphics gems IV, vol.4, p.370, 1994.
DOI : 10.1016/B978-0-12-336156-1.50045-8

[. Coveyou, D. Robert, and . Macpherson, Fourier Analysis of Uniform Random Number Generators, Journal of the ACM, vol.14, issue.1, pp.100-119, 1967.
DOI : 10.1145/321371.321379

D. Coeurjolly, J. Lachaud, and J. Levallois, Integral Based Curvature Estimators in Digital Geometry, pp.215-227, 2013.
DOI : 10.1007/978-3-642-37067-0_19

URL : https://hal.archives-ouvertes.fr/hal-00926164

D. Coeurjolly, J. Lachaud, and J. Levallois, Multigrid convergent principal curvature estimators in digital geometry, Computer Vision and Image Understanding, vol.129, issue.176, pp.27-41, 2014.
DOI : 10.1016/j.cviu.2014.04.013

URL : https://hal.archives-ouvertes.fr/hal-01119434

F. Michael, J. Cohen, S. Shade, O. Hiller, and . Deussen, Wang tiles for image and texture generation, 2003.

L. Robert and . Cook, Stochastic sampling in computer graphics, In: ACM Transactions on Graphics (TOG), vol.51, pp.51-72, 1986.

[. Cornel, F. Robert, H. Tobler, C. Sakai, M. Luksch et al., Forced Random Sampling: fast generation of importance-guided blue-noise samples, The Visual Computer, pp.6-8, 2017.
DOI : 10.1111/cgf.12538

R. Cranley, N. Thomas, and . Patterson, Randomization of Number Theoretic Methods for Multiple Integration, SIAM Journal on Numerical Analysis, vol.13, issue.6, pp.904-914, 1976.
DOI : 10.1137/0713071

K. Fernando-de-goes, V. Breeden, M. Ostromoukhov, and . Desbrun, Blue noise through optimal transport, In: ACM Transactions on Graphics (TOG), vol.316, issue.134, pp.171-72, 2012.

D. Dunbar and G. Humphreys, A spatial data structure for fast Poisson-disk sample generation, In: ACM Transactions on Graphics (TOG), vol.253, issue.44, pp.503-508, 2006.
DOI : 10.1145/1179352.1141915

S. Dammertz and A. Keller, Image Synthesis by Rank-1 Lattices, pp.217-236, 2006.
DOI : 10.1007/978-3-540-74496-2_12

K. Dahm and A. Keller, Learning light transport the reinforced way, ACM SIGGRAPH 2017 Talks on , SIGGRAPH '17, 2017.
DOI : 10.1007/BF00992698

URL : http://arxiv.org/pdf/1701.07403

P. David, D. Dobkin, D. P. Eppstein, and . Mitchell, Computing the Discrepancy with Applications to Supersampling Patterns, In: ACM Trans. Graph, vol.15, issue.20, pp.354-376, 1996.

[. Du, V. Faber, and M. Gunzburger, Centroidal Voronoi Tessellations: Applications and Algorithms, SIAM Review, vol.41, issue.4, pp.637-676, 1999.
DOI : 10.1137/S0036144599352836

URL : http://people.sc.fsu.edu/~mgunzburger/files_papers/gunzburger-cvt-siamreview.pdf

F. Durand, A frequency analysis of Monte-Carlo and other numerical integration schemes, 2011.

A. Z. Mark, E. Dippé, and . Wold, Antialiasing Through Stochastic Sampling, In: SIGGRAPH Comput. Graph, vol.193, pp.69-78, 1985.

S. Mohamed, . Ebeida, A. Andrew, . Davidson, and . Patney, Efficient maximal Poissondisk sampling, In: ACM Transactions on Graphics (TOG), vol.30, issue.4, p.49, 2011.

S. Mohamed, . Ebeida, A. Scott, A. Mitchell, . Patney et al., A Simple Algorithm for Maximal Poisson-Disk Sampling in High Dimensions, Computer Graphics Forum, vol.31, pp.785-794

M. Eldar, M. Lindenbaum, . Porat, Y. Yehoshua, and . Zeevi, The farthest point strategy for progressive image sampling, IEEE Transactions on Image Processing, vol.69, pp.1305-1315, 1997.
DOI : 10.1109/icpr.1994.577129

URL : http://www.ee.technion.ac.il/people/zeevi/papers/17-00623193.pdf

R. Fattal, Blue-noise point sampling using kernel density model, In: ACM Transactions on Graphics (TOG), vol.30, issue.49, pp.48-95, 2011.
DOI : 10.1145/1964921.1964943

H. Faure, Discr??pance de suites associ??es ?? un syst??me de num??ration (en dimension s), Acta Arithmetica, vol.41, issue.4, pp.337-351, 1982.
DOI : 10.4064/aa-41-4-337-351

I. Gargantini, An effective way to represent quadtrees, Communications of the ACM, vol.25, issue.12, pp.905-910, 1982.
DOI : 10.1145/358728.358741

S. Hardeep, C. Gill, and . Lemieux, A search for extensible Korobov rules, Journal of Complexity, vol.23, pp.4-6, 2007.

S. Andrew and . Glassner, Principles of digital image synthesis, 1995.

N. Manuel, . Gamito, C. Steve, and . Maddock, Accurate multidimensional Poisson-disk sampling, In: ACM Transactions on Graphics (TOG), vol.291, issue.8, pp.27-43, 2009.

M. Gnewuch, A. Srivastav, and C. Winzen, Finding optimal volume subintervals with k points and computing the star discrepancy are NPhard, Journal of Complexity. Citeseer, 2008.
DOI : 10.1016/j.jco.2008.10.001

URL : https://doi.org/10.1016/j.jco.2008.10.001

M. Gnewuch, M. Wahlström, and C. Winzen, A New Randomized Algorithm to Approximate the Star Discrepancy Based on Threshold Accepting, SIAM Journal on Numerical Analysis, vol.50, issue.2, 2011.
DOI : 10.1137/110833865

URL : https://hal.archives-ouvertes.fr/hal-01797907

L. Grünschloß, J. Hanika, R. Schwede, and A. Keller, (t, m, s)-Nets and Maximized Minimum Distance, pp.397-412, 2006.

[. Grünschloß, M. Raab, and A. Keller, Enumerating quasi-monte carlo point sequences in elementary intervals, pp.399-408, 2010.

H. John and . Halton, Algorithm 247: Radical-inverse quasi-random point sequence, Communications of the ACM, vol.712, issue.64, pp.701-702, 1964.

M. John and . Hammersley, Monte Carlo methods for solving multivariable problems, Annals of the New York Academy of Sciences, vol.86, issue.69, pp.844-874, 1960.

D. Heck, T. Schlömer, and O. Deussen, Blue noise sampling with controlled aliasing, ACM Transactions on Graphics, vol.32, issue.3, pp.25-56, 2013.
DOI : 10.1145/2487228.2487233

URL : http://www.inf.uni-konstanz.de/gk/pubsys/publishedFiles/HeScDe13.pdf

K. Hesse, H. Ian, . Sloan, S. Robert, and . Womersley, Numerical integration on the sphere, Handbook of Geomathematics, pp.1185-1219, 2010.

D. [. Hammersley and . Handscomb, Monte Carlo Methods, 1964.

J. Fred, H. S. Hickernell, and . Hong, Computing multivariate normal probabilities using rank-1 lattice sequences, Proceedings of the Workshop on Scientific Computing, pp.209-215, 1997.

J. Fred, H. S. Hickernell, P. L. Hong, C. Écuyer, and . Lemieux, Extensible lattice sequences for quasi-Monte Carlo quadrature, In: SIAM Journal on Scientific Computing, vol.223, pp.1117-1138, 2000.

F. Hickernell, A generalized discrepancy and quadrature error bound, Mathematics of Computation of the American Mathematical Society, vol.67, issue.221, pp.299-322, 1998.
DOI : 10.1090/S0025-5718-98-00894-1

URL : http://www.ams.org/mcom/1998-67-221/S0025-5718-98-00894-1/S0025-5718-98-00894-1.pdf

S. Hiller, O. Deussen, and A. Keller, Tiled blue noise samples, Vision, Modeling, and Visualization (VMV), 2001.

E. Hlawka, Funktionen von beschränkter variatiou in der theorie der gleichverteilung, pp.325-333, 1961.
DOI : 10.1007/bf02415361

J. Illian, A. Penttinen, H. Stoyan, and D. Stoyan, Statistical analysis and modelling of spatial point patterns, p.112, 2008.
DOI : 10.1002/9780470725160

M. Jiang, Y. Zhou, R. Wang, R. Southern, and J. Zhang, Blue noise sampling using an SPH-based method, ACM Transactions on Graphics, vol.34, issue.6, pp.211-258, 2015.
DOI : 10.1145/2816795.2818102

URL : http://dl.acm.org/ft_gateway.cfm?id=2818102&type=pdf

S. Joe, Y. Frances, and . Kuo, Remark on algorithm 659, ACM Transactions on Mathematical Software, vol.29, issue.1, pp.49-57, 2008.
DOI : 10.1145/641876.641879

[. Thouis and R. Jones, Efficient generation of Poisson-disk sampling patterns, Journal of Graphics Tools, vol.11, issue.2, pp.27-36, 2006.

[. Kailkhura, J. Jayaraman, P. Thiagarajan, . Bremer, K. Pramod et al., Stair blue noise sampling, ACM Transactions on Graphics, vol.35, issue.6, pp.248-56, 2016.
DOI : 10.1109/5.3288

[. Kanamori, Z. Szego, and T. Nishita, Deterministic blue noise sampling by solving largest empty circle problems " . In: The Journal of the Institute of Image Electronics Engineers of Japan 40, pp.6-13, 2011.

A. Keller, Myths of Computer Graphics Monte Carlo and Quasi-Monte Carlo Methods, pp.217-243, 2004.

A. Kensler, Correlated multi-jittered sampling, pp.86-112, 2013.

[. Kuipers and H. Niederreiter, Uniform Distribution of Sequences. Pure and applied mathematics, pp.75-99, 1974.

J. Koksma, Een algemeene stelling uit de theorie der gelijkmatige verdeeling modulo 1, In: Mathematica B (Zutphen), vol.11, pp.7-11, 1942.

J. Kopf, D. Cohen-or, O. Deussen, and D. Lischinski, Recursive Wang tiles for real-time blue noise, 2006.
DOI : 10.1145/1179352.1141916

URL : http://www.inf.uni-konstanz.de/gk/pubsys/publishedFiles/KoCoDe06.pdf

[. Korobov, The approximate computation of multiple integrals, Dokl. Akad. Nauk SSSR, vol.124, issue.6, pp.1207-1210, 1959.

[. Lachaud, D. Coeurjolly, and J. Levallois, Robust and Convergent Curvature and Normal Estimators with Digital Integral Invariants, Lecture Notes in Mathematics, vol.37, issue.6, p.forthcoming, 2016.
DOI : 10.1016/j.cag.2013.05.008

URL : https://hal.archives-ouvertes.fr/hal-01576020

E. William, . Lorensen, E. Harvey, and . Cline, Marching Cubes: A High Resolution 3D Surface Construction Algorithm, In: ACM Computer Graphics, vol.214, issue.178, p.175, 1987.

A. Lagae and P. Dutré, A procedural object distribution function, ACM Transactions on Graphics, vol.24, issue.4, pp.1442-1461, 2005.
DOI : 10.1145/1095878.1095888

URL : http://people.cs.kuleuven.be/~ares.lagae/publications/LD05PODF/LD05PODF.pdf

J. Levallois, D. Coeurjolly, and J. Lachaud, Parameter-Free and Multigrid Convergent Digital Curvature Estimators, pp.162-175, 2014.
DOI : 10.1007/978-3-319-09955-2_14

URL : https://hal.archives-ouvertes.fr/hal-01118476

J. Levallois, D. Coeurjolly, and J. Lachaud, Scale-space feature extraction on digital surfaces, Computers & Graphics, vol.51, p.12, 2015.
DOI : 10.1016/j.cag.2015.05.023

URL : https://hal.archives-ouvertes.fr/hal-01149102

[. Lewiner and V. Mello, Adelailson Peixoto, Sinésio Pesco, and Hélio Lopes Fast Generation of Pointerless Octree Duals, Comput. Graph. Forum, vol.295, issue.178, pp.1661-1669, 2010.
DOI : 10.1111/j.1467-8659.2010.01775.x

URL : http://www.cs.jhu.edu/~misha/ReadingSeminar/Papers/Lewiner10.pdf

H. Li, L. Wei, V. Pedro, C. Sander, and . Fu, Anisotropic blue noise sampling, In: ACM Transactions on Graphics (TOG), vol.29, issue.6, p.167, 2010.
DOI : 10.1145/1866158.1866189

H. Li, D. Nehab, L. Wei, V. Pedro, C. Sander et al., Fast capacity constrained Voronoi tessellation, Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D 10, p.13, 2010.
DOI : 10.1145/1730804.1730985

URL : http://research.microsoft.com/pubs/115797/paper.pdf

S. Lloyd, Least squares quantization in PCM, IEEE Transactions on Information Theory, vol.28, issue.2, pp.129-137, 1982.
DOI : 10.1109/TIT.1982.1056489

URL : http://www.cs.toronto.edu/~roweis/csc2515-2006/readings/lloyd57.pdf

E. Stephen, L. John, and D. Owens, Voxel-based terrain for real-time virtual simulations, 2010.

R. Uribe-lobello, F. Dupont, and F. Denis, Out-of-core adaptive isosurface extraction from binary volume data, Graphical Models, vol.766, issue.178, pp.593-608, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01016785

D. Boris, . Lubachevsky, H. Frank, and . Stillinger, Geometric properties of random disk packings, Journal of statistical Physics, vol.60, pp.5-6, 1990.

J. Matou?ek, On theL2-Discrepancy for Anchored Boxes, Journal of Complexity, vol.14, issue.4, pp.527-556, 1998.
DOI : 10.1006/jcom.1998.0489

M. Mccool and E. Fiume, Hierarchical Poisson disk sampling distributions

. Mit91, P. Don, and . Mitchell, Spectrally optimal sampling for distribution ray tracing, In: ACM SIGGRAPH Computer Graphics, vol.25, issue.4, pp.157-164, 1991.

P. Don, . Mitchell, N. Arun, and . Netravali, Reconstruction filters in computer-graphics, In: ACM Siggraph Computer Graphics, vol.224, issue.172, pp.221-228, 1988.

[. Mitsa, J. Kevin, and . Parker, Digital halftoning technique using a blue-noise mask, JOSA A 9, pp.1920-1929, 1992.
DOI : 10.1364/JOSAA.9.001920

L. Jeffrey, V. Newbern, . Michael-bove, and . Jr, Generation of blue noise arrays by genetic algorithm In: Human Vision and Electronic Imaging, pp.441-450, 1997.

]. H. Nie72 and . Niederreiter, Discrepancy and convex programming, pp.89-97, 1972.

H. Niederreiter, Low-discrepancy and low-dispersion sequences, Journal of Number Theory, vol.30, issue.1, pp.51-70, 1988.
DOI : 10.1016/0022-314X(88)90025-X

URL : https://doi.org/10.1016/0022-314x(88)90025-x

H. Niederreiter, Random Number Generation and quasi-Monte Carlo Methods, pp.59-63, 1992.
DOI : 10.1137/1.9781611970081

H. Niederreiter and C. Xing, Low-discrepancy sequences obtained from algebraic function fields over finite fields, Acta Arithmetica, vol.72, issue.3, pp.281-298, 1995.
DOI : 10.4064/aa-72-3-281-298

URL : https://www.impan.pl/shop/publication/transaction/download/product/108577?download.pdf

[. Öztireli and M. Gross, Analysis and Synthesis of Point Distributions based on Pair Correlation, In: ACM Trans. Graph. (Proc. of ACM SIGGRAPH ASIA), vol.316, issue.84, pp.55-112, 2012.

[. Ostromoukhov, C. Donohue, and P. Jodoin, Fast hierarchical importance sampling with blue noise properties, In: ACM Transactions on Graphics
DOI : 10.1145/1186562.1015750

URL : http://www.iro.umontreal.ca/~ostrom/publications/pdf/SIGGRAPH04_ImportanceSampling.pdf

[. Ostromoukhov, Sampling with polyominoes, ACM Transactions on Graphics, vol.26, issue.3, pp.78-50, 2007.
DOI : 10.1145/1276377.1276475

B. Art and . Owen, Randomly permuted (t, m, s)-nets and (t, s)-sequences " . In: Monte Carlo and quasi-Monte Carlo methods in scientific computing, pp.299-317, 1995.

M. Pha+16, W. Pharr, G. Jakob, and . Humphreys, Physically based rendering: From theory to implementation, pp.36-38, 2016.

A. Pilleboue, G. Singh, D. Coeurjolly, M. Kazhdan, and V. Ostromoukhov, Variance analysis for Monte Carlo integration, Proc. SIGGRAPH), pp.1-124, 2015.
DOI : 10.1145/566570.566612

URL : https://hal.archives-ouvertes.fr/hal-01150268

]. H. Pot+07, J. Pottmann, Y. Wallner, Y. Yang, S. Lai et al., Principal curvatures from the integral invariant viewpoint, Computer Aided Geometric Design, vol.248, issue.9, pp.428-442, 2007.

H. Pottmann, J. Wallner, Q. Huang, and Y. Yang, Integral invariants for robust geometry processing, Computer Aided Geometric Design, vol.26, issue.1, pp.37-60, 2009.
DOI : 10.1016/j.cagd.2008.01.002

URL : http://www.stanford.edu/~huangqx/tr146.pdf

[. Purgathofer, F. Robert, M. Tobler, and . Geiler, Forced random dithering: improved threshold matrices for ordered dithering, Proceedings of 1st International Conference on Image Processing, pp.1032-1035, 1994.
DOI : 10.1109/ICIP.1994.413512

R. Ramamoorthi, J. Anderson, M. Meyer, and D. Nowrouzezahrai, A theory of monte carlo visibility sampling, ACM Transactions on Graphics, vol.31, issue.5, p.121, 2012.
DOI : 10.1145/2231816.2231819

[. Reinert, T. Ritschel, H. Seidel, and I. Georgiev, Projective Blue-Noise Sampling, Computer Graphics Forum, vol.221, issue.4608, 2015.
DOI : 10.1126/science.6867716

G. Rong, M. Jin, L. Shuai, and X. Guo, Centroidal Voronoi tessellation in universal covering space of manifold surfaces, Computer Aided Geometric Design, vol.28, issue.8, pp.475-496, 2011.
DOI : 10.1016/j.cagd.2011.06.005

URL : http://www.utdallas.edu/~xxg061000/HCVT_CAGD.pdf

R. Roveri, M. Öztireli, and . Gross, General Point Sampling with Adaptive Density and Correlations, Computer Graphics Forum, vol.31, issue.4, pp.107-117, 2017.
DOI : 10.1145/2185520.2185572

T. Schlömer, D. Heck, and O. Deussen, Farthest-point optimized point sets with maximized minimum distance, Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics, HPG '11, pp.135-142, 2011.
DOI : 10.1145/2018323.2018345

A. Kaplanyan and C. Wyman, Spatiotemporal variance-guided filtering: real-time reconstruction for path-traced global illumination, Proceedings of High Performance Graphics. ACM. 2017

P. Schmidt, Irregularities of distribution, 1972.

A. Secord, Weighted Voronoi stippling, Proceedings of the second international symposium on Non-photorealistic animation and rendering , NPAR '02, pp.37-43, 2002.
DOI : 10.1145/508530.508537

URL : http://www.cs.ubc.ca/~ajsecord/npar2002/npar2002_ajsecord_preprint.ps.gz

M. Shah, A genetic algorithm approach to estimate lower bounds of the star discrepancy, Monte Carlo Methods and Applications, vol.138, issue.4, pp.3-4, 2010.
DOI : 10.1016/j.jco.2007.08.003

P. Shirley, Discrepancy as a quality measure for sample distributions, Proc. Eurographics, pp.183-194, 1991.

[. Shu, C. Zhou, S. Mohan, and . Kankanhalli, Adaptive marching cubes, The Visual Computer 11, pp.202-217, 1995.
DOI : 10.1145/378267.378271

URL : http://www.comp.nus.edu.sg/~mohan/papers/amc.pdf

[. Subr and J. Kautz, Fourier analysis of stochastic sampling strategies for assessing bias and variance in integration, ACM Transactions on Graphics, vol.32, issue.4, 2013.
DOI : 10.1145/2461912.2462013

URL : http://www0.cs.ucl.ac.uk/staff/K.Subr/Files/Papers/FourierSIG13_small.pdf

S. Schaefer and J. Warren, Dual marching cubes: Primal contouring of dual grids, Proceedings. 12th Pacific Conference on. IEEE, pp.70-76, 2004.
DOI : 10.1111/j.1467-8659.2005.00843.x

URL : http://www.cs.rice.edu/~sschaefe/research/dmc.ps.gz

T. Ritschel, C. Dachsbacher, T. Grosch, and J. Kautz, The State of the Art in Interactive Global Illumination, Computer Graphics Forum, vol.2, issue.5, 2012.
DOI : 10.1111/j.1467-8659.2010.01727.x

[. Tatarchuk, J. Shopf, and C. Decoro, Real-Time Isosurface Extraction Using the GPU Programmable Geometry Pipeline, ACM SIGGRAPH 2007 courses on, SIGGRAPH '07
DOI : 10.1145/1281500.1361219

S. Tezuka, Uniform random numbers: Theory and practice, 1995.
DOI : 10.1007/978-1-4615-2317-8

E. Thiémard, An Algorithm to Compute Bounds for the Star Discrepancy, Journal of Complexity, vol.17, issue.4, pp.850-880, 2001.
DOI : 10.1006/jcom.2001.0600

A. Torralba and A. Oliva, Statistics of natural image categories, Network: Computation in Neural Systems, vol.5, issue.3, pp.391-412, 2003.
DOI : 10.1126/science.287.5456.1273

URL : http://web.mit.edu/torralba/www/ne3302.pdf

[. Torquato, F. Ou-uche, and . Stillinger, Random sequential addition of hard spheres in high Euclidean dimensions, Physical Review E, vol.5, issue.6, p.61308, 2006.
DOI : 10.1063/1.1480864

R. Ulichney, Digital halftoning, 1987.

A. Robert and . Ulichney, Dithering with blue noise, Proceedings of the IEEE, vol.761, pp.56-79, 1988.

J. M. Val+08-]-sebastien-valette, R. Chassery, and . Prost, Generic remeshing of 3D triangular meshes with metric-dependent discrete Voronoi diagrams, IEEE Transactions on Visualization and Computer Graphics, vol.142, pp.369-381, 2008.

E. Veach, Robust monte carlo methods for light transport simulation. 1610, 1997.

[. Wachtel, A. Pilleboue, and D. Coeurjolly, Fast tile-based adaptive sampling with user-specified Fourier spectra, ACM Transactions on Graphics, vol.33, issue.4, p.56, 2014.
DOI : 10.1038/scientificamerican1165-98

URL : https://hal.archives-ouvertes.fr/hal-01080349

T. Turner and W. , Computational Investigations of Low-discrepancy Point-sets, 1973.

L. Wei, Parallel Poisson disk sampling, In: ACM Transactions on Graphics (TOG)
DOI : 10.1145/1360612.1360619

URL : http://research.microsoft.com/pubs/70563/tr-2008-46.pdf

L. Wei, Multi-class blue noise sampling, In: ACM Transactions on Graphics (TOG), vol.294, p.79, 2010.
DOI : 10.1145/1833351.1778816

URL : http://www.liyiwei.org/papers/noise-siga10/paper_long.pdf

B. Kenric, D. White, . Cline, K. Parris, and . Egbert, Poisson disk point sets by hierarchical dart throwing, RT'07. IEEE Symposium on. IEEE, pp.129-132, 2007.

L. Wei and R. Wang, Differential domain analysis for non-uniform sampling, In: ACM Transactions on Graphics (TOG), vol.304, issue.55, pp.50-93, 2011.
DOI : 10.1145/1964921.1964945

URL : http://www.liyiwei.org/papers/differential-sig11/paper.pdf

[. Xiang, Q. Shi-qing-xin, Y. Sun, and . He, Parallel and accurate Poisson disk sampling on arbitrary surfaces, SIGGRAPH Asia 2011 Sketches on, SA '11, p.18, 2011.
DOI : 10.1145/2077378.2077401

[. Xu, L. Liu, C. Gotsman, J. Steven, and . Gortler, Capacity-Constrained Delaunay Triangulation for point distributions, Computers & Graphics, vol.35, issue.3, pp.510-516, 2011.
DOI : 10.1016/j.cag.2011.03.031

D. Yan, B. Lévy, Y. Liu, F. Sun, and W. Wang, Isotropic Remeshing with Fast and Exact Computation of Restricted Voronoi Diagram, Computer Graphics Forum, vol.14, issue.2, pp.1445-1454, 2009.
DOI : 10.1145/1073204.1073238

URL : https://hal.archives-ouvertes.fr/inria-00547790

[. Yan, J. Guo, X. Jia, X. Zhang, and P. Wonka, Blue-Noise Remeshing with Farthest Point Optimization, Computer Graphics Forum, vol.32, issue.5
DOI : 10.1145/2516971.2516973

D. Yan, G. Bao, X. Zhang, and P. Wonka, Low-Resolution Remeshing Using the Localized Restricted Voronoi Diagram, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.10, pp.1418-1427, 2014.
DOI : 10.1109/TVCG.2014.2330574

D. Yan, J. Guo, B. Wang, X. Zhang, and P. Wonka, A Survey of Blue-Noise Sampling and Its Applications, Journal of Computer Science and Technology, vol.43, issue.11, pp.439-452, 2015.
DOI : 10.1016/j.cad.2011.08.012

URL : http://repository.kaust.edu.sa/kaust/bitstream/10754/564161/1/2015.SIAMOPT.Yang.FusedMultipleGraphicalLasso.pdf

I. John and . Yellott, Spectral consequences of photoreceptor sampling in the rhesus retina, In: Science, vol.2214608, 1983.

[. Zhou, H. Huang, L. Wei, and R. Wang, Point sampling with general noise spectrum, ACM Transactions on Graphics, vol.31, issue.4, p.76, 2012.
DOI : 10.1145/2185520.2185572

URL : http://www.liyiwei.org/papers/noise-sig12/final_main.pdf

J. Dupuy, J. Iehl, and P. Poulin, GPU Pro 5 " . en, 2014.

]. Özt16 and . Öztireli, Integration with stochastic point processes, In: ACM Transactions on Graphics (TOG), vol.355, pp.160-190, 2016.