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Many problems in image processing and computer vision (e.g.
Image analogies
A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. Salesin · 2001
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C. Farabet, C. Couprie, L. Najman, and Y. LeCun · 2013
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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
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Microsoft COCO: common objects in context
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Glove: Global vectors for word representation
J. Pennington, R. Socher, and C. D. Manning · 2014
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Recurrent convolutional neural networks for scene labeling
P. H. O. Pinheiro and R. Collobert · 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 colorization
Z. Cheng, Q. Yang, and B. Sheng · 2015
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
D. Eigen and R. Fergus · 2015
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Deep convolutional neural fields for depth estimation from a single image
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 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. S. Bernstein, A. C. Berg, and F. Li · 2015
Cited alongside, same era.
Conditional random fields as recurrent neural networks
S. Zheng, S. Jayasumana, B. Romera-Paredes, V. Vineet, Z. Su, D. Du, C. Huang, and P. H. S. Torr · 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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Precomputed real-time texture synthesis with markovian generative adversarial networks
C. Li and M. Wand · 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
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Instance normalization: The missing ingredient for fast stylization
D. Ulyanov, A. Vedaldi, and V. S. Lempitsky · 2016
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Colorful image colorization
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Pandora: Description of a painting database for art movement recognition with baselines and perspectives
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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.
R. Zhang, P. Isola, and A. A. Efros · 2016
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Diversified texture synthesis with feed-forward networks
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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