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Texture synthesis models are important tools for understanding visual processing.
“Receptive fields and functional architecture of monkey striate cortex”
David Hubel and Torsten Wiesel · 1968
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“Textons, the elements of texture perception, and their interactions” https://doi.org/10.1038/290091a0
B. Julész · 1981
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Ludwig Baringhaus · 1991
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“Texture segregation and orientation gradient”
Michael Landy and James Bergen · 1991
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“Pyramid-based texture analysis/synthesis” http://dx.doi.org/10.1145/218380.218446
D.. Heeger and J.. Bergen · 1995
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“A parametric texture model based on joint statistics of complex wavelet coefficients” http://dx.doi.org/10.1023/A:1026553619983
J. Portilla and E.. Simoncelli · 2000
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“Scale mixtures of Gaussians and the statistics of natural images”
Martin Wainwright and Eero Simoncelli · 2000
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“Texture mixing and texture movie synthesis using statistical learning”
Ziv Bar-Joseph, Ran El-Yaniv, Dani Lischinski and Michael Werman · 2001
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“A statistic for testing the null hypothesis of elliptical symmetry”
A Manzotti, Francisco Pérez and Adolfo Quiroz · 2002
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“A survey on continuous elliptical vector distributions”
Eusebio Gómez, Miguel Gómez-Villegas and J Marín · 2003
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“Maximum likelihood difference scaling”
Laurence Maloney and Joong Yang · 2003
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“Sequences of elliptical distributions and mixtures of normal distributions”
E Gómez-Sánchez-Manzano, MA Gómez-Villegas and JM Marín · 2006
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“Soft mixer assignment in a hierarchical generative model of natural scene statistics”
Odelia Schwartz, Terrence Sejnowski and Peter Dayan · 2006
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“Comparison of recordings from microelectrode arrays and single electrodes in the visual cortex”
Ryan Kelly et al · 2007
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“What’s new in psychtoolbox-3”
M Kleiner et al · 2007
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“Attentive texture similarity as a categorization task: comparing texture synthesis models” https://dx.doi.org/10.1016/j.patcog.2007.08.007
B. Balas · 2008
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“MLDS: Maximum likelihood difference scaling in R”
Kenneth Knoblauch and Laurence Maloney · 2008
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“A summary-statistic representation in peripheral vision explains visual crowding” https://dx.doi.org/10.1167/9.12.13
B. Balas, L. Nakano and R. Rosenholtz · 2009
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“Statistical models of linear and nonlinear contextual interactions in early visual processing”
Ruben Coen-Cagli, Peter Dayan and Odelia Schwartz · 2009
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“Sound texture synthesis via filter statistics”
Josh McDermott, Andrew Oxenham and Eero Simoncelli · 2009
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“Contour Detection and Hierarchical Image Segmentation”
Pablo Arbelaez, Michael Maire, Charless Fowlkes and Jitendra Malik · 2010
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“Patch-based Texture Interpolation”
Roland Ruiters, Ruwen Schnabel and Reinhard Klein · 2010
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“Metamers of the ventral stream” https://doi.org/10.1038/nn.2889
J. Freeman and E.. Simoncelli · 2011
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“Random phase textures: Theory and synthesis” https://doi.org/10.1109/TIP.2010.2052822
B. Galerne, Y. Gousseau and J-M. Morel · 2011
Cited alongside, same era.
“Scikit-learn: Machine Learning in Python”
F. Pedregosa et al · 2011
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“Wasserstein barycenter and its application to texture mixing”
Julien Rabin, Gabriel Peyré, Julie Delon and Marc Bernot · 2011
Cited alongside, same era.
“A summary statistic representation in peripheral vision explains visual search” https://dx.doi.org/10.1167/12.4.14
R. Rosenholtz et al · 2012
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“A functional and perceptual signature of the second visual area in primates” https://doi.org/10.1038/nn.3402
J. Freeman et al · 2013
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“Probabilistic brains: knowns and unknowns”
Alexandre Pouget, Jeffrey Beck, Wei Ma and Peter Latham · 2013
“Learning Texture Manifolds with the Periodic Spatial GAN”
Urs Bergmann, Nikolay Jetchev and Roland Vollgraf · 2017
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“Conditional tests for elliptical symmetry using robust estimators”
Ana Bianco, Graciela Boente and Isabel Rodrigues · 2017
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“Gradual development of visual texture-selective properties between macaque areas V2 and V4”
Gouki Okazawa, Satohiro Tajima and Hidehiko Komatsu · 2017
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“What does it take to generate natural textures?”
Ivan Ustyuzhaninov, Wieland Brendel, Leon Gatys and Matthias Bethge · 2017
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“Textures as probes of visual processing”
Jonathan Victor, Mary Conte and Charles Chubb · 2017
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“A parametric texture model based on deep convolutional features closely matches texture appearance for humans” https://dx.doi.org/10.1167/17.12.5
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Cited alongside, same era.
“The Heeger-Bergen Pyramid-Based Texture Synthesis Algorithm”
Thibaud Briand, Jonathan Vacher, Bruno Galerne and Julien Rabin · 2014
Cited alongside, same era.
“Describing textures in the wild”
Mircea Cimpoi et al · 2014
Cited alongside, same era.
“Very deep convolutional networks for large-scale image recognition”
Karen Simonyan and Andrew Zisserman · 2014
Cited alongside, same era.
“Synthesizing and mixing stationary gaussian texture models”
Gui-Song Xia, Sira Ferradans, Gabriel Peyré and Jean-François Aujol · 2014
Cited alongside, same era.
“jsPsych: A JavaScript library for creating behavioral experiments in a Web browser”
Joshua De · 2015
Cited alongside, same era.
“Texture synthesis using convolutional neural networks”
L. Gatys, A.. Ecker and M. Bethge · 2015
Cited alongside, same era.
T… Wallis et al · 2017
Later among the works it cites.
“Adaptive and selective time averaging of auditory scenes”
Richard McWalter and Josh McDermott · 2018
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“A survey of exemplar-based texture synthesis” http://dx.doi.org/10.4310/AMSA.2018.v3.n1.a4
L. Raad, A. Davy, A. Desolneux and J-M. Morel · 2018
Later among the works it cites.
“Bayesian modeling of motion perception using dynamical stochastic textures” https://doi.org/10.1162/neco_a_01142
J. Vacher, A.. Meso, L.. Perrinet and G. Peyré · 2018
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“Texturegan: Controlling deep image synthesis with texture patches”
Wenqi Xian et al · 2018
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“Contextual modulation of sensitivity to naturalistic image structure in macaque V2” https://doi.org/10.1152/jn.00900.2017
C.. Ziemba, J. Freeman, E.. Simoncelli and A.. Movshon · 2018
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“Towards Metamerism via Foveated Style Transfer”
Arturo Deza, Aditya Jonnalagadda and Miguel. Eckstein · 2019
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“Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks”
Luisánchez Giraldo and Odelia Schwartz · 2019
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“A Multi-layer Approach to Semi-Discrete Optimal Transport with Applications to Texture Synthesis and Style Transfer”
Arthur Leclaire and Julien Rabin · 2019
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“Computational optimal transport”
Gabriel Peyré and Marco Cuturi · 2019
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“Normalization and pooling in hierarchical models of natural images”
Luis Sanchez-Giraldo, Md Laskar and Odelia Schwartz · 2019
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“Combining mixture models with linear mixing updates: multilayer image segmentation and synthesis”
Jonathan Vacher and Ruben Coen-Cagli · 2019
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“Image content is more important than Bouma’s Law for scene metamers” https://doi.org/10.7554/eLife.42512
T… Wallis et al · 2019
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“Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture”
Ning Yu et al · 2019
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“Flexible contextual modulation of naturalistic texture perception in peripheral vision”
Daniel Herrera-Esposito, Ruben Coen-Cagli and Leonel Gomez-Sena · 2020
Closest in time.
“The Portilla-Simoncelli Texture Model: Towards the Understanding of the Early Visual Cortex”
Jonathan Vacher and Thibaud Briand · 2020
Closest in time.
“Texture Mixing by Interpolating Deep Statistics via Gaussian Models”
Z. Xue and Z. Wang · 2020
Closest in time.