Fetching the paper…
Reading the bibliography…
In this paper, we present a method which combines the flexibility of the neural algorithm of artistic style with the speed of fast style transfer networks to allow real-time stylization using any content/style image pair.
Visual pattern discrimination
B. Julesz · 1962
Earlier work this paper cites.
Fake: the story of Elmyr de Hory: the greatest art forger of our time
C. Irving · 1969
Earlier work this paper cites.
Texture synthesis by non-parametric sampling
A. A. Efros and T. K. Leung · 1999
Earlier work this paper cites.
A parametric texture model based on joint statistics of complex wavelet coefficients
J. Portilla and E. Simoncelli · 1999
Earlier work this paper cites.
Fast texture synthesis using tree-structured vector quantization
L.-Y. Wei and M. Levoy · 2000
Earlier work this paper cites.
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.
Real-time texture synthesis by patch-based sampling
L. Liang, C. Liu, Y.-Q. Xu, B. Guo, and H.-Y. Shum · 2001
Earlier work this paper cites.
Visualizing data using t-sne
L. v. d. Maaten and G. Hinton · 2008
Earlier work this paper cites.
Metamers of the ventral stream
J. Freeman and E. P. Simoncelli · 2011
Earlier work this paper cites.
Devise: A deep visual-semantic embedding model
A. Frome, G. S. Corrado, J. Shlens, S. Bengio, J. Dean, T. Mikolov, et al · 2013
Cited alongside, same era.
Zero-shot learning by convex combination of semantic embeddings
M. Norouzi, T. Mikolov, S. Bengio, Y. Singer, J. Shlens, A. Frome, G. S. Corrado, and J. Dean · 2013
Cited alongside, same era.
Describing textures in the wild
M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, , and A. Vedaldi · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
Cited alongside, same era.
Domain separation networks
K. Bousmalis, G. Trigeorgis, N. Silberman, D. Krishnan, and D. Erhan · 2016
Later among the works it cites.
A learned representation for artistic style
V. Dumoulin, J. Shlens, and M. Kudlur · 2016
Later among the works it cites.
Controlling perceptual factors in neural style transfer
L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann, and E. Shechtman · 2016
Later among the works it cites.
Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
Later among the works it cites.
Precomputed real-time texture synthesis with markovian generative adversarial networks
C. Li and M. Wand · 2016
Later among the works it cites.
Artistic style transfer for videos
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Texture synthesis using convolutional neural networks
L. Gatys, A. S. Ecker, and M. Bethge · 2015
Cited alongside, same era.
A neural algorithm of artistic style
L. A. Gatys, A. S. Ecker, and M. Bethge · 2015
Cited alongside, same era.
Inceptionism: Going deeper into neural networks, June 2015
A. Mordvintsev, C. Olah, and M. Tyka · 2015
Cited alongside, same era.
Rethinking the inception architecture for computer vision
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2015
Cited alongside, same era.
M. Ruder, A. Dosovitskiy, and T. Brox · 2016
Later among the works it cites.
Texture networks: Feed-forward synthesis of textures and stylized images
D. Ulyanov, V. Lebedev, A. Vedaldi, and V. Lempitsky · 2016
Later among the works it cites.
Instance normalization: The missing ingredient for fast stylization
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2016
Later among the works it cites.
Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. Belongie · 2017
Closest in time.