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Given a random pair of images, an arbitrary style transfer method extracts the feel from the reference image to synthesize an output based on the look of the other content image.
Image quilting for texture synthesis and transfer
A. A. Efros and W. T. Freeman · 2001
Earlier work this paper cites.
Image analogies
A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. H. Salesin · 2001
Earlier work this paper cites.
A non-local algorithm for image denoising
A. Buades, B. Coll, and J.-M. Morel · 2005
Earlier work this paper cites.
A closed-form solution to natural image matting
A. Levin, D. Lischinski, and Y. Weiss · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Guided image filtering
K. He, J. Sun, and X. Tang · 2013
Earlier work this paper cites.
State of the” art”: A taxonomy of artistic stylization techniques for images and video
J. E. Kyprianidis, J. Collomosse, T. Wang, and T. Isenberg · 2013
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, L. Bourdev, R. Girshick, J. Hays, P. Perona, D. Ramanan, C. L. Zitnick, and P. Dollár · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
Earlier work this paper cites.
Semantic style transfer and turning two-bit doodles into fine artworks
A. J. Champandard · 2016
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Bilateral guided upsampling
J. Chen, A. Adams, N. Wadhwa, and S. W. Hasinoff · 2016
Earlier work this paper cites.
The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Earlier work this paper cites.
A learned representation for artistic style
V. Dumoulin, J. Shlens, and M. Kudlur · 2016
Earlier work this paper cites.
Split and match: Example-based adaptive patch sampling for unsupervised style transfer
O. Frigo, N. Sabater, J. Delon, and P. Hellier · 2016
Cited alongside, same era.
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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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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Painter by numbers, wikiart
K. Nichol · 2016
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
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Demystifying neural style transfer
Y. Li, N. Wang, J. Liu, and X. Hou · 2017
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Learning affinity via spatial propagation networks
S. Liu, S. D. Mello, J. Gu, G. Zhong, M.-H. Yang, and J. Kautz · 2017
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Deep photo style transfer
F. Luan, S. Paris, E. Shechtman, and K. Bala · 2017
Later among the works it cites.
Automatic differentiation in pytorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
Later among the works it cites.
Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2017
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Playing for data: Ground truth from computer games
S. R. Richter, V. Vineet, S. Roth, and V. Koltun · 2016
Cited alongside, same era.
Return of frustratingly easy domain adaptation
B. Sun, J. Feng, and K. Saenko · 2016
Cited alongside, same era.
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.
Controlling perceptual factors in neural style transfer
L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann, and E. Shechtman · 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.
Characterizing and improving stability in neural style transfer
A. Gupta, J. Johnson, A. Alahi, and L. Fei-Fei · 2017
Cited alongside, same era.
Multimodal transfer: A hierarchical deep convolutional neural network for fast artistic style transfer
X. Wang, G. Oxholm, D. Zhang, and Y.-F. Wang · 2017
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Stable and controllable neural texture synthesis and style transfer using histogram losses
P. Wilmot, E. Risser, and C. Barnes · 2017
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H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
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Domain stylization: A strong, simple baseline for synthetic to real image domain adaptation
A. Dundar, M.-Y. Liu, T.-C. Wang, J. Zedlewski, and J. Kautz · 2018
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Neural style transfer via meta networks
S. Y. Falong Shen and G. Zeng · 2018
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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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Avatar-net: Multi-scale zero-shot style transfer by feature decoration
L. Sheng, Z. Lin, J. Shao, and X. Wang · 2018
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