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Artistic style transfer is the problem of synthesizing an image with content similar to a given image and style similar to another.
Painterly rendering with curved brush strokes of multiple sizes
A. Hertzmann · 1998
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Synthesizing natural textures
M. Ashikhmin · 2001
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Image quilting for texture synthesis and transfer
A. A. Efros and W. T. Freeman · 2001
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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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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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Texture synthesis using convolutional neural networks
L. Gatys, A. S. Ecker, and M. Bethge · 2015
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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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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
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Kaggle Painter by numbers kernel description
Kaggle · 2016
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Texture networks: Feed-forward synthesis of textures and stylized images
D. Ulyanov, V. Lebedev, A. Vedaldi, and V. S. Lempitsky · 2016
Cited alongside, same era.
Instance normalization: the missing ingredient for fast stylization. corr abs/1607.0 (2016)
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2016
Cited alongside, same era.
Stochastic variational video prediction
M. Babaeizadeh, C. Finn, D. Erhan, R. H. Campbell, and S. Levine · 2017
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Unsupervised diverse colorization via generative adversarial networks
Y. Cao, Z. Zhou, W. Zhang, and Y. Yu · 2017
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Photographic image synthesis with cascaded refinement networks
Q. Chen and V. Koltun · 2017
Cited alongside, same era.
Learning diverse image colorization
Depth-aware neural style transfer
X.-C. Liu, M.-M. Cheng, Y.-K. Lai, and P. L. Rosin · 2017
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Stable and controllable neural texture synthesis and style transfer using histogram losses
E. Risser, P. Wilmot, and C. Barnes · 2017
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Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis
D. Ulyanov, A. Vedaldi, and V. S. Lempitsky · 2017
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Multimodal unsupervised image-to-image translation
X. Huang, M.-Y. Liu, S. Belongie, and J. Kautz · 2018
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Stochastic adversarial video prediction
A. X. Lee, R. Zhang, F. Ebert, P. Abbeel, C. Finn, and S. Levine · 2018
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A. Deshpande, J. Lu, M.-C. Yeh, M. J. Chong, and D. A. Forsyth · 2017
Cited alongside, same era.
A learned representation for artistic style
V. Dumoulin, J. Shlens, and M. Kudlur · 2017
Cited alongside, same era.
Exploring the structure of a real-time, arbitrary neural artistic stylization network
G. Ghiasi, H. Lee, M. Kudlur, V. Dumoulin, and J. Shlens · 2017
Cited alongside, same era.
Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. J. Belongie · 2017
Cited alongside, same era.
Universal style transfer via feature transforms
Y. Li, C. Fang, J. Yang, Z. Wang, X. Lu, and M.-H. Yang · 2017
Cited alongside, same era.
Demystifying neural style transfer
Y. Li, N. Wang, J. Liu, and X. Hou · 2017
Cited alongside, same era.
A closed-form solution to photorealistic image stylization
Y. Li, M.-Y. Liu, X. Li, M.-H. Yang, and J. Kautz · 2018
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Large-scale celebfaces attributes (celeba) dataset
Z. Liu, P. Luo, X. Wang, and X. Tang · 2018
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Synthetic to real adaptation with generative correlation alignment networks
X. Peng and K. Saenko · 2018
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Artistic style transfer for videos and spherical images
M. Ruder, A. Dosovitskiy, and T. Brox · 2018
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A style-aware content loss for real-time hd style transfer
A. Sanakoyeu, D. Kotovenko, S. Lang, and B. Ommer · 2018
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Xogan: One-to-many unsupervised image-to-image translation
Y. Zhang · 2018
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