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Recent progresses on deep discriminative and generative modeling have shown promising results on texture synthesis.
Visual pattern discrimination
B. Julesz · 1962
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D. J. Heeger and J. R. Bergen · 1995
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J. S. De Bonet · 1997
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A. A. Efros and T. K. Leung · 1999
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J. Portilla and E. P. Simoncelli · 2000
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L.-Y. Wei and M. Levoy · 2000
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A. A. Efros and W. T. Freeman · 2001
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Image analogies
A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. H. Salesin · 2001
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Texture synthesis over arbitrary manifold surfaces
L.-Y. Wei and M. Levoy · 2001
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Fast texture transfer
N. Ashikhmin · 2003
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Graphcut textures: image and video synthesis using graph cuts
V. Kwatra, A. Schödl, I. Essa, G. Turk, and A. Bobick · 2003
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Directional texture transfer
H. Lee, S. Seo, S. Ryoo, and K. Yoon · 2010
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Describing textures in the wild
M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, , and A. Vedaldi · 2014
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Deep generative image models using a Laplacian pyramid of adversarial networks
E. L. Denton, S. Chintala, R. Fergus, et al · 2015
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Learning to generate chairs with convolutional neural networks
A. Dosovitskiy, J. Tobias Springenberg, and T. Brox · 2015
Split and match: Example-based adaptive patch sampling for unsupervised style transfer
O. Frigo, N. Sabater, J. Delon, and P. Hellier · 2016
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Preserving color in neural artistic style transfer
L. A. Gatys, M. Bethge, A. Hertzmann, and E. Shechtman · 2016
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Image style transfer using convolutional neural networks
L. A. Gatys, A. S. Ecker, and M. Bethge · 2016
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Controlling perceptual factors in neural style transfer
L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann, and E. Shechtman · 2016
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
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Texture synthesis using convolutional neural networks
L. A. Gatys, A. S. Ecker, and M. Bethge · 2015
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Understanding deep image representations by inverting them
A. Mahendran and A. Vedaldi · 2015
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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
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Generating images with perceptual similarity metrics based on deep networks
A. Dosovitskiy and T. Brox · 2016
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Inverting visual representations with convolutional networks
A. Dosovitskiy and T. Brox · 2016
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A learned representation for artistic style
V. Dumoulin, J. Shlens, and M. Kudlur · 2016
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Combining markov random fields and convolutional neural networks for image synthesis
C. Li and M. Wand · 2016
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Precomputed real-time texture synthesis with markovian generative adversarial networks
C. Li and M. Wand · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2016
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Improved techniques for training GANs
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Texture networks: Feed-forward synthesis of textures and stylized images
D. Ulyanov, V. Lebedev, A. Vedaldi, and V. Lempitsky · 2016
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Instance normalization: The missing ingredient for fast stylization
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2016
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