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[1] Eero P. Simoncelli,et al. Contextual modulation of sensitivity to naturalistic image structure in macaque V2 , 2018, Journal of neurophysiology.
[2] J. Anthony Movshon,et al. Comparison of Recordings from Microelectrode Arrays and Single Electrodes in the Visual Cortex , 2007, The Journal of Neuroscience.
[3] Josh H. McDermott,et al. Adaptive and Selective Time Averaging of Auditory Scenes , 2018, Current Biology.
[4] James R. Bergen,et al. Pyramid-based texture analysis/synthesis , 1995, Proceedings., International Conference on Image Processing.
[5] J. Bergen,et al. Texture segregation and orientation gradient , 1991, Vision Research.
[6] H. Komatsu,et al. Image statistics underlying natural texture selectivity of neurons in macaque V4 , 2014, Proceedings of the National Academy of Sciences.
[7] Md Nasir Uddin Laskar,et al. Normalization and pooling in hierarchical models of natural images , 2019, Current Opinion in Neurobiology.
[8] B. Galerne,et al. The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm , 2014, Image Process. Line.
[9] A. Pouget,et al. Probabilistic brains: knowns and unknowns , 2013, Nature Neuroscience.
[10] Gouki Okazawa,et al. Gradual Development of Visual Texture-Selective Properties Between Macaque Areas V2 and V4 , 2016, Cerebral cortex.
[11] Charless C. Fowlkes,et al. Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Yan Wang,et al. A Powerful Generative Model Using Random Weights for the Deep Image Representation , 2016, NIPS.
[13] R. Rosenholtz,et al. A summary statistic representation in peripheral vision explains visual search. , 2009, Journal of vision.
[14] V. Koltchinskii,et al. Testing for Spherical Symmetry of a Multivariate Distribution , 1998 .
[15] Zhucun Xue,et al. Texture Mixing by Interpolating Deep Statistics via Gaussian Models , 2018, IEEE Access.
[16] Gui-Song Xia,et al. Synthesizing and Mixing Stationary Gaussian Texture Models , 2014, SIAM J. Imaging Sci..
[17] Jonathan Vacher,et al. Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures , 2016, Neural Computation.
[18] Laurence T Maloney,et al. Maximum likelihood difference scaling. , 2003, Journal of vision.
[19] Leon A. Gatys,et al. What does it take to generate natural textures? , 2017, ICLR.
[20] Eli Shechtman,et al. Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Bruno Galerne,et al. Random Phase Textures: Theory and Synthesis , 2011, IEEE Transactions on Image Processing.
[23] Peter Dayan,et al. Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing , 2009, NIPS.
[24] Benjamin J. Balas,et al. Attentive texture similarity as a categorization task: Comparing texture synthesis models , 2008, Pattern Recognit..
[25] R. Rosenholtz,et al. A summary-statistic representation in peripheral vision explains visual crowding. , 2009, Journal of vision.
[26] Reinhard Klein,et al. Patch‐based Texture Interpolation , 2010, Comput. Graph. Forum.
[27] Denis G. Pelli,et al. ECVP '07 Abstracts , 2007, Perception.
[28] Miguel P. Eckstein,et al. Towards Metamerism via Foveated Style Transfer , 2017, ICLR.
[29] Kenneth Knoblauch,et al. MLDS: Maximum Likelihood Difference Scaling in R , 2008 .
[30] A. Quiroz,et al. A Statistic for Testing the Null Hypothesis of Elliptical Symmetry , 2002 .
[31] Eero P. Simoncelli,et al. Selectivity and tolerance for visual texture in macaque V2 , 2016, Proceedings of the National Academy of Sciences.
[32] Gabriel Peyré,et al. Computational Optimal Transport , 2018, Found. Trends Mach. Learn..
[33] Eero P. Simoncelli,et al. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.
[34] Julien Rabin,et al. Wasserstein Barycenter and Its Application to Texture Mixing , 2011, SSVM.
[35] Ana M. Bianco,et al. Conditional tests for elliptical symmetry using robust estimators , 2015, 1502.05600.
[36] A survey on continuous elliptical vector distributions , 2003 .
[37] Fisher Yu,et al. TextureGAN: Controlling Deep Image Synthesis with Texture Patches , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[38] Mary M. Conte,et al. Textures as Probes of Visual Processing. , 2017, Annual review of vision science.
[39] Eero P. Simoncelli,et al. Origin and Function of Tuning Diversity in Macaque Visual Cortex , 2015, Neuron.
[40] Yann Gousseau,et al. Variational Texture Synthesis with Sparsity and Spectrum Constraints , 2015, Journal of Mathematical Imaging and Vision.
[41] Yann Gousseau,et al. Wasserstein Loss for Image Synthesis and Restoration , 2016, SIAM J. Imaging Sci..
[42] Eero P. Simoncelli,et al. Sound texture synthesis via filter statistics , 2009, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
[43] Eero P. Simoncelli,et al. Metamers of the ventral stream , 2011, Nature Neuroscience.
[44] Matthias Bethge,et al. Testing models of peripheral encoding using metamerism in an oddity paradigm. , 2016, Journal of vision.
[45] R. Rosenholtz. Capabilities and Limitations of Peripheral Vision. , 2016, Annual review of vision science.
[46] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[47] Jonathan Vacher,et al. Combining mixture models with linear mixing updates: multilayer image segmentation and synthesis , 2019, ArXiv.
[48] Andrea Vedaldi,et al. Texture Networks: Feed-forward Synthesis of Textures and Stylized Images , 2016, ICML.
[49] Eero P. Simoncelli,et al. Geodesics of learned representations , 2015, ICLR.
[50] Ruben Coen-Cagli,et al. Flexible contextual modulation of naturalistic texture perception in peripheral vision , 2020, bioRxiv.
[51] Leon A. Gatys,et al. Image content is more important than Bouma’s Law for scene metamers , 2018 .
[52] Eero P. Simoncelli,et al. A functional and perceptual signature of the second visual area in primates , 2013, Nature Neuroscience.
[53] Odelia Schwartz,et al. Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks , 2018, Neural Computation.
[54] Iasonas Kokkinos,et al. Describing Textures in the Wild , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[55] Joshua de Leeuw,et al. jsPsych: A JavaScript library for creating behavioral experiments in a Web browser , 2014, Behavior Research Methods.
[56] Dani Lischinski,et al. Texture Mixing and Texture Movie Synthesis Using Statistical Learning , 2001, IEEE Trans. Vis. Comput. Graph..
[57] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[58] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[59] M. A. Gómez–Villegas,et al. Sequences of elliptical distributions and mixtures of normal distributions , 2006 .
[60] Roland Vollgraf,et al. Learning Texture Manifolds with the Periodic Spatial GAN , 2017, ICML.
[61] Terrence J. Sejnowski,et al. Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics , 2006, Neural Computation.
[62] Martin J. Wainwright,et al. Scale Mixtures of Gaussians and the Statistics of Natural Images , 1999, NIPS.
[63] Jean-Michel Morel,et al. A survey of exemplar-based texture synthesis , 2017, ArXiv.
[64] B. Julesz. Textons, the elements of texture perception, and their interactions , 1981, Nature.
[65] Leon A. Gatys,et al. Texture Synthesis Using Convolutional Neural Networks , 2015, NIPS.
[66] Leon A. Gatys,et al. A parametric texture model based on deep convolutional features closely matches texture appearance for humans , 2017, bioRxiv.