C. Aguerrebere, Y. Gousseau, and G. Tartavel, Exemplarbased texture synthesis: the Efros-Leung algorithm, Image Processing On Line, vol.2013, pp.213-231, 2013.
DOI : 10.5201/ipol.2013.59

URL : http://doi.org/10.5201/ipol.2013.59

M. Aittala, T. Aila, and J. Lehtinen, Reflectance modeling by neural texture synthesis, ACM Transactions on Graphics, vol.35, issue.4, p.2016
DOI : 10.1145/1141911.1141987

URL : https://aaltodoc.aalto.fi/doc_public/ohjeet/aaltodoc_pdf_a.pdf

M. Ashikhmin, Synthesizing natural textures, Proceedings of the 2001 symposium on Interactive 3D graphics , SI3D '01, pp.217-226, 2001.
DOI : 10.1145/364338.364405

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.7271

M. Abdourrahmane, Z. Atto, O. Tan, M. Alata, and . Moreaud, Non-stationary texture synthesis from random field modeling, Image Processing (ICIP), 2014 IEEE International Conference on, pp.4266-4270, 2014.

G. Berger and R. Memisevic, Incorporating long-range consistency in cnn-based texture generation, Proceedings of the International Conference on Learning Representations (ICLR), 2017.

C. Bordenave, Y. Gousseau, and F. Roueff, The dead leaves model: a general tessellation modeling occlusion, Advances in Applied Probability, pp.31-46, 2006.

T. Briand, J. Vacher, B. Galerne, and J. Rabin, The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm, Image Processing On Line, vol.4, pp.276-299, 2014.
DOI : 10.5201/ipol.2014.79

URL : https://hal.archives-ouvertes.fr/hal-01435323

A. Buades, M. Lebrun, and J. Morel, Implementation of the " Non-Local Bayes " (NL-Bayes) Image Denoising Algorithm, Image Processing On Line, vol.2013, pp.1-42, 2013.

T. Caelli and B. Julesz, On perceptual analyzers underlying visual texture discrimination: Part I, Biological Cybernetics, vol.16, issue.3, pp.167-175, 1978.
DOI : 10.1007/BF00337138

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering, IEEE Transactions on Image Processing, vol.16, issue.8, pp.2080-2095, 2007.
DOI : 10.1109/TIP.2007.901238

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.5398

J. S. Bonet, Multiresolution sampling procedure for analysis and synthesis of texture images, Proceedings of the 24th annual conference on Computer graphics and interactive techniques , SIGGRAPH '97, pp.361-368, 1997.
DOI : 10.1145/258734.258882

J. Deng, W. Dong, R. Socher, L. Li, K. Li et al., Imagenet: A large-scale hierarchical image database, Computer Vision and Pattern Recognition CVPR 2009. IEEE Conference on, pp.248-255, 2009.

A. Efros and T. K. Leung, Texture synthesis by non-parametric sampling, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1033-1038, 1999.
DOI : 10.1109/ICCV.1999.790383

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.2805

A. A. Efros and W. T. Freeman, Image quilting for texture synthesis and transfer, Proceedings of the 28th annual conference on Computer graphics and interactive techniques , SIGGRAPH '01, pp.341-346, 2001.
DOI : 10.1145/383259.383296

URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.18.9703&rep=rep1&type=pdf

W. T. Freeman and E. H. Adelson, The design and use of steerable filters, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.9, pp.891-906, 1991.
DOI : 10.1109/34.93808

B. Galerne, Y. Gousseau, and J. Morel, Micro-Texture Synthesis by Phase Randomization, Image Processing On Line, vol.1, 2011.
DOI : 10.5201/ipol.2011.ggm_rpn

URL : http://doi.org/10.5201/ipol.2011.ggm_rpn

B. Galerne, Y. Gousseau, and J. Morel, Random Phase Textures: Theory and Synthesis, IEEE Transactions on Image Processing, vol.20, issue.1, pp.257-267, 2011.
DOI : 10.1109/TIP.2010.2052822

URL : https://hal.archives-ouvertes.fr/hal-00418389

B. Galerne, A. Leclaire, and L. Moisan, Microtexture inpainting through Gaussian conditional simulation, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1204-1208, 2016.
DOI : 10.1109/ICASSP.2016.7471867

URL : https://hal.archives-ouvertes.fr/hal-01214695

L. Gatys, A. S. Ecker, and M. Bethge, Texture synthesis using convolutional neural networks, Advances in Neural Information Processing Systems, pp.262-270, 2015.

L. Gatys, A. S. Ecker, and M. Bethge, Image Style Transfer Using Convolutional Neural Networks, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.2414-2423, 2016.
DOI : 10.1109/CVPR.2016.265

U. Grenander, General Pattern Theory, 1993.

B. Guo, H. Shum, and Y. Xu, Chaos mosaic: Fast and memory efficient texture synthesis. Microsoft research paper MSR-TR, 2000.

J. David, J. R. Heeger, and . Bergen, Pyramid-based texture analysis/synthesis, Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, pp.229-238, 1995.

A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. H. Salesin, Image analogies, Proceedings of the 28th annual conference on Computer graphics and interactive techniques , SIGGRAPH '01, pp.327-340, 2001.
DOI : 10.1145/383259.383295

N. Jetchev, U. Bergmann, and R. Vollgraf, Texture synthesis with spatial generative adversarial networks. arXiv preprint, 2016.

B. Julesz, Visual pattern discrimination Information Theory, IRE Transactions on, vol.8, issue.2, pp.84-92, 1962.
DOI : 10.1109/tit.1962.1057698

B. Julesz, Textons, the elements of texture perception and their interactions, Nature, vol.32, issue.5802, pp.91-97, 1981.
DOI : 10.1098/rstb.1980.0091

B. Julesz, A theory of preattentive texture discrimination based on first-order statistics of textons, Biological Cybernetics, vol.31, issue.2, pp.131-138, 1981.
DOI : 10.1007/BF00335367

B. Julesz, Dialogues on Perception, 1995.

B. Julesz, E. N. Gilbert, L. A. Shepp, and H. L. Frisch, Inability of Humans to Discriminate between Visual Textures That Agree in Second-Order Statistics???Revisited, Perception, vol.10, issue.4, pp.391-405, 1973.
DOI : 10.1137/0110041

B. Julesz, E. N. Gilbert, and J. D. Victor, Visual discrimination of textures with identical third-order statistics, Biological Cybernetics, vol.10, issue.3, pp.137-140, 1978.
DOI : 10.1007/BF00336998

A. Kaspar, B. Neubert, D. Lischinski, M. Pauly, and J. Kopf, Self Tuning Texture Optimization, Computer Graphics Forum, pp.349-359, 2015.
DOI : 10.1145/882262.882266

A. Krizhevsky, I. Sutskever, and G. E. Hinton, ImageNet classification with deep convolutional neural networks, Advances in neural information processing systems, pp.1097-1105, 2012.
DOI : 10.1162/neco.2009.10-08-881

V. Kwatra, I. Essa, A. Bobick, and N. Kwatra, Texture optimization for example-based synthesis, ACM Transactions on Graphics, vol.24, issue.3, pp.795-802, 2005.
DOI : 10.1145/1073204.1073263

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.8859

V. Kwatra, A. Schödl, I. Essa, G. Turk, and A. Bobick, Graphcut textures, ACM Transactions on Graphics, vol.22, issue.3, pp.277-286, 2003.
DOI : 10.1145/882262.882264

M. Lebrun, A. Buades, and J. Morel, A Nonlocal Bayesian Image Denoising Algorithm, SIAM Journal on Imaging Sciences, vol.6, issue.3, pp.1665-1688, 2013.
DOI : 10.1137/120874989

S. Lefebvre and H. Hoppe, Parallel controllable texture synthesis, ACM Transactions on Graphics, vol.24, issue.3, pp.777-786, 2005.
DOI : 10.1145/1073204.1073261

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.3367

L. Liang, C. Liu, Y. Xu, B. Guo, and H. Shum, Real-time texture synthesis by patch-based sampling, ACM Transactions on Graphics, vol.20, issue.3, pp.127-150, 2001.
DOI : 10.1145/501786.501787

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.3979

G. Liu, Y. Gousseau, and G. Xia, Texture synthesis through convolutional neural networks and spectrum constraints, 23rd International Conference on Pattern Recognition, ICPR 2016, pp.3234-3239, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01567165

Y. David-lockerman, B. Sauvage, J. Rémialì-egre, J. Dischler, . Dorsey et al., Multi-scale label-map extraction for texture synthesis, ACM Transactions on Graphics, vol.35, issue.4, pp.140-141, 2016.
DOI : 10.1145/1620993.1621027

Y. Lu, S. Zhu, and Y. Wu, Learning frame models using cnn filters, Thirtieth AAAI Conference on Artificial Intelligence, 2016.

G. Matheron, Schéma booléen séquentiel de partition aléatoire Rapport technique N-83, 1968.

D. Mumford and A. Desolneux, Pattern Theory: The Stochastic Analysis of Real-World Signals, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00713576

R. Novak and Y. Nikulin, Improving the neural algorithm of artistic style. arXiv preprint, 2016.

K. Perlin, An image synthesizer, ACM SIGGRAPH Computer Graphics, vol.19, issue.3, pp.287-296, 1985.
DOI : 10.1145/325165.325247

G. Peyré, Sparse Modeling of Textures, Journal of Mathematical Imaging and Vision, vol.27, issue.2, pp.17-31, 2009.
DOI : 10.1016/S1076-5670(04)32006-9

G. Peyré, Texture Synthesis with Grouplets, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.4, pp.733-746, 2010.
DOI : 10.1109/TPAMI.2009.54

J. Portilla and E. P. Simoncelli, A parametric texture model based on joint statistics of complex wavelet coefficients, International Journal of Computer Vision, vol.40, issue.1, pp.49-70, 2000.
DOI : 10.1023/A:1026553619983

L. Raad, A. Desolneux, and J. Morel, A Conditional Multiscale Locally Gaussian Texture Synthesis Algorithm, Journal of Mathematical Imaging and Vision, vol.52, issue.1, pp.260-279, 2016.
DOI : 10.1145/344779.345009

J. Rabin, G. Peyré, J. Delon, and M. Bernot, Wasserstein Barycenter and Its Application to Texture Mixing, Scale Space and Variational Methods in Computer Vision, pp.435-446, 2012.
DOI : 10.1007/978-3-642-24785-9_37

URL : https://hal.archives-ouvertes.fr/hal-00476064/document

D. Amir-rosenberger, D. Cohen-or, and . Lischinski, Layered shape synthesis: automatic generation of control maps for non-stationary textures, In ACM Transactions on Graphics, vol.28, p.107, 2009.

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh et al., ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision, vol.1010, issue.1, pp.211-252, 2015.
DOI : 10.1007/978-3-642-15555-0_11

URL : http://arxiv.org/abs/1409.0575

J. Serra, Image analysis and mathematical morphology, v. 1. Academic press, 1982.

C. E. Shannon, A Mathematical Theory of Communication, Bell System Technical Journal, vol.27, issue.3, pp.379-423, 1948.
DOI : 10.1002/j.1538-7305.1948.tb01338.x

P. Eero, W. T. Simoncelli, and . Freeman, The steerable pyramid: a flexible architecture for multi-scale derivative computation, ICIP (3), pp.444-447, 1995.

K. Simonyan and A. Zisserman, Very deep convolutional networks for large-scale image recognition. arXiv preprint, 2014.

G. Tartavel, Y. Gousseau, and G. Peyré, Variational Texture Synthesis with Sparsity and Spectrum Constraints, Journal of Mathematical Imaging and Vision, vol.40, issue.1, pp.124-144, 2014.
DOI : 10.1137/130918010

URL : https://hal.archives-ouvertes.fr/hal-00881847

D. Ulyanov, V. Lebedev, A. Vedaldi, and V. Lempitsky, Texture networks: Feed-forward synthesis of textures and stylized images, Int. Conf. on Machine Learning (ICML), 2016.

I. Ustyuzhaninov, W. Brendel, L. Gatys, and M. Bethge, What does it take to generate natural textures, Proceedings of the International Conference on Learning Representations (ICLR), 2017.

J. Jarke and . Van-wijk, Spot noise texture synthesis for data visualization, SIGGRAPH '91, pp.309-318, 1991.

L. Wei, S. Lefebvre, V. Kwatra, and G. Turk, State of the art in example-based texture synthesis, Eurographics 2009, State of the Art Report, EG-STAR, pp.93-117, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00606853

L. Wei and M. Levoy, Fast texture synthesis using tree-structured vector quantization, Proceedings of the 27th annual conference on Computer graphics and interactive techniques , SIGGRAPH '00, pp.479-488, 2000.
DOI : 10.1145/344779.345009

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.5631

P. Wilmot, E. Risser, and C. Barnes, Stable and controllable neural texture synthesis and style transfer using histogram losses, 2017.

J. Xie, Y. Lu, S. Zhu, and Y. Wu, A theory of generative convnet, International Conference on Machine Learning, pp.2635-2644, 2016.

C. Zhu, R. H. Byrd, P. Lu, and J. Nocedal, Lbfgs-b: Fortran subroutines for large-scale bound constrained optimization, 1994.
DOI : 10.1145/279232.279236

Y. N. Song-chun-zhu, D. Wu, and . Mumford, Minimax entropy principle and its application to texture modeling, Neural computation, vol.9, issue.8, pp.1627-1660, 1997.

Y. N. Song-chun-zhu, D. Wu, and . Mumford, Minimax entropy principle and its application to texture modeling, Neural computation, vol.9, issue.8, pp.1627-1660, 1997.

Y. Song-chun-zhu, D. Wu, and . Mumford, Filters, random fields and maximum entropy (frame): Towards a unified theory for texture modeling, International Journal of Computer Vision, vol.27, issue.2, pp.107-126, 1998.