S. Alhalawani, Y. Yang, H. Liu, and N. J. Mitra, Interactive Facades Analysis and Synthesis of Semi-Regular Facades, Computer Graphics Forum, vol.29, issue.4, 2013.
DOI : 10.1145/1778765.1778831

P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik, Contour Detection and Hierarchical Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.5, pp.898-916, 2011.
DOI : 10.1109/TPAMI.2010.161

F. Bao, M. Schwarz, and P. Wonka, Procedural facade variations from a single layout, ACM Transactions on Graphics, vol.32, issue.1, 2013.
DOI : 10.1145/2421636.2421644

C. Barnes, E. Shechtman, D. B. Goldman, and A. Finkelstein, The Generalized PatchMatch Correspondence Algorithm, Proc. of ECCV, 2010.
DOI : 10.1007/978-3-642-15558-1_3

M. Bokeloh, M. Wand, and H. Seidel, A connection between partial symmetry and inverse procedural modeling, ACM Transactions on Graphics, vol.29, issue.4, pp.1-10410, 2010.
DOI : 10.1145/1778765.1778841

Y. Chen, H. Fu, and K. C. Au, A multi-level sketch-based interface for decorative pattern exploration, SIGGRAPH ASIA 2016 Technical Briefs on, SA '16, 2016.
DOI : 10.1109/TPAMI.2009.73

J. H. Conway, H. Burgiel, and C. Goodman-strauss, The Symmetries of Things. A K Peters, 2008.

A. Desolneux, L. Moisan, and J. Morel, Gestalt Theory and Computer Vision, 2002.
DOI : 10.1007/1-4020-2081-3_4

URL : https://hal.archives-ouvertes.fr/hal-00171945

J. Feldman, Perceptual grouping by selection of a logically minimal model, Proc. of ICCV, pp.5-25, 2003.

J. Brendan, D. Frey, and . Dueck, Clustering by passing messages between data points, Science, vol.315, 2007.

J. H. Graham and S. Raz, Hagit Hel-Or, and Eviatar Nevo Fluctuating Asymmetry: Methods, Theory, and Applications, pp.466-540, 2010.
DOI : 10.3390/sym2020466

URL : http://www.mdpi.com/2073-8994/2/2/466/pdf

K. Greff, A. Rasmus, M. Berglund, T. Hao, H. Valpola et al., Tagger: Deep Unsupervised Perceptual Grouping, Advances in Neural Information Processing Systems, pp.4484-4492, 2016.

P. Guerrero, G. Bernstein, W. Li, and N. J. Mitra, PATEX, ACM Transactions on Graphics, vol.35, issue.4, pp.1-4813, 2016.
DOI : 10.1145/2642918.2647398

URL : http://dl.acm.org/ft_gateway.cfm?id=2925950&type=pdf

R. Hadsell, S. Chopra, and Y. Lecun, Dimensionality Reduction by Learning an Invariant Mapping, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.100

URL : http://www.cs.nyu.edu/~raia/docs/cvpr06.pdf

X. Han, T. Leung, Y. Jia, R. Sukthankar, and A. C. Berg, MatchNet: Unifying feature and metric learning for patch-based matching, Proc. of CVPR, 2015.

T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning, 2001.

P. Isola, J. Zhu, T. Zhou, and A. A. Efros, Image-to-Image Translation with Conditional Adversarial Networks, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
DOI : 10.1109/CVPR.2017.632

URL : http://arxiv.org/pdf/1611.07004

P. Isola, D. Zoran, D. Krishnan, H. Edward, and . Adelson, Learning visual groups from co-occurrences in space and time, International Conference on Learning Representations, p.Workshop paper, 2016.

P. Diederik, J. Kingma, and . Ba, Adam: A Method for Stochastic Optimization, p.6980, 2014.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, ImageNet classification with deep convolutional neural networks, Proc. NIPS, 2012.
DOI : 10.1162/neco.2009.10-08-881

URL : http://dl.acm.org/ft_gateway.cfm?id=3065386&type=pdf

M. Kubovy, M. Van-den, and . Berg, The whole is equal to the sum of its parts: A probabilistic model of grouping by proximity and similarity in regular patterns., Psychological Review, vol.115, issue.1, pp.131-154, 2008.
DOI : 10.1037/0033-295X.115.1.131

M. Maire, T. Narihira, X. Stella, and . Yu, Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.174-182, 2016.
DOI : 10.1109/CVPR.2016.26

K. Maninis, J. Pont-tuset, P. Arbeláez, and L. Van-gool, Convolutional Oriented Boundaries, European Conference on Computer Vision, pp.580-596, 2016.
DOI : 10.1109/TPAMI.2015.2465908

URL : http://arxiv.org/pdf/1608.02755

J. Niloy, M. Mitra, M. Pauly, D. Wand, and . Ceylan, Symmetry in 3D Geometry: Extraction and Applications, Proc. of Eurographics STAR Report, 2012.

L. Nan, A. Sharf, K. Xie, T. Wong, O. Deussen et al., Conjoining Gestalt rules for abstraction of architectural drawings, ACM Transactions on Graphics, vol.30, issue.6, pp.1-18510, 2011.
DOI : 10.1145/2070781.2024219

S. Palmer, Common region: A new principle of perceptual grouping, Cognitive Psychology, vol.24, issue.3, pp.436-447, 1992.
DOI : 10.1016/0010-0285(92)90014-S

E. Stephen and . Palmer, Hierarchical structure in perceptual representation, Cognitive Psychology, vol.9, issue.4, pp.441-474, 1977.

J. Podolak, P. Shilane, A. Golovinskiy, S. Rusinkiewicz, and T. Funkhouser, A Planar-reflective Symmetry Transform for 3D Shapes, ACM Trans. on Graph, vol.25, issue.3, 2006.

L. Berg and . Fei-fei, ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision (IJCV), vol.115, issue.3, pp.211-252, 2015.

J. Shi and J. Malik, Normalized Cuts and Image Segmentation, IEEE Trans. Pat. Ana. & Mach. Int, 2000.

P. Simari, E. Kalogerakis, and K. Singh, Folding meshes: hierarchical mesh segmentation based on planar symmetry, Symp. on Geom. Proc, pp.111-119, 2006.

E. Simo-serra, E. Trulls, L. Ferraz, I. Kokkinos, P. Fua et al., Discriminative Learning of Deep Convolutional Feature Point Descriptors, 2015 IEEE International Conference on Computer Vision (ICCV), 2015.
DOI : 10.1109/ICCV.2015.22

O. Stava, B. Benes, R. Mech, D. Aliga, and P. Kristof, Inverse Procedural Modeling by Automatic Generation of L-systems, Computer Graphics Forum, vol.28, issue.5, pp.665-674, 2010.
DOI : 10.1145/1618452.1618484

H. Su, S. Maji, E. Kalogerakis, and E. G. , Learned-Miller. 2015. Multi-view Convolutional Neural Networks for 3D Shape Recognition, Proc. ICCV

K. Oliver-van-kaick, H. Xu, Y. Zhang, and . Wang, Shuyang Sun, Ariel Shamir, and Daniel Cohen-Or. 2013. Co-Hierarchical Analysis of Shape Structures, ACM Trans. on Graph, vol.32, issue.4, 2013.

H. Kaijun-wang-li and . Zhang, Fast Affinity Propagation Clustering under Given Number of Clusters https://www.mathworks.com/matlabcentral/fileexchange/ 25722-fast-affinity-propagation-clustering-under-given-number-of-clusters Yanzhen Wang Symmetry Hierarchy of Man-Made Objects, Computer Graphics ForumEurographics), vol.30, issue.2, pp.287-296, 2010.

M. Wertheimer, Laws of organization in perceptual forms., pp.71-88, 1938.
DOI : 10.1037/11496-005

F. Wu, D. Yan, W. Dong, X. Zhang, and P. Wonka, Inverse procedural modeling of facade layouts, ACM Transactions on Graphics, vol.33, issue.4, pp.1-12110, 2014.
DOI : 10.1145/882262.882324

J. Xie, R. Girshick, and A. Farhadi, Unsupervised Deep Embedding for Clustering Analysis, Proc. of ICML, 2016.

P. Xu, H. Fu, C. Tai, and T. Igarashi, GACA, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI '15, pp.2787-2795, 2015.
DOI : 10.1145/2366145.2366161

J. Yang, D. Parikh, and D. Batra, Joint Unsupervised Learning of Deep Representations and Image Clusters, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
DOI : 10.1109/CVPR.2016.556

Y. Yeh, K. Breeden, L. Yang, M. Fisher, and P. Hanrahan, Synthesis of tiled patterns using factor graphs, ACM Transactions on Graphics, vol.32, issue.1, pp.1-313, 2013.
DOI : 10.1145/2421636.2421639

E. Kwang-moo-yi, V. Trulls, P. Lepetit, and . Fua, LIFT: Learned Invariant Feature Transform, IEEE ECCV, 2016.

S. Zagoruyko and N. Komodakis, Learning to compare image patches via convolutional neural networks, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4353-4361, 2015.
DOI : 10.1109/CVPR.2015.7299064

URL : https://hal.archives-ouvertes.fr/hal-01246261

H. Zhang, K. Xu, W. Jiang, J. Lin, D. Cohen-or et al., Layered analysis of irregular facades via symmetry maximization, ACM Transactions on Graphics, vol.32, issue.4, 2013.
DOI : 10.1145/2461912.2461923

A. Zimek, E. Schubert, and H. Kriegel, A survey on unsupervised outlier detection in high-dimensional numerical data, Statistical Analysis and Data Mining, vol.21, issue.5, p.5, 2012.
DOI : 10.1007/s10115-009-0226-y

L. Zitnick and P. Dollár, Edge Boxes: Locating Object Proposals from Edges, Proc. of ECCV, 2014.
DOI : 10.1007/978-3-319-10602-1_26

URL : http://research.microsoft.com/en-us/um/people/larryz/ZitnickDollarECCV14edgeBoxes.pdf