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Many image-to-image translation problems are ambiguous, as a single input image may correspond to multiple possible outputs.
Information processing in dynamical systems: Foundations of harmony theory
P. Smolensky · 1986
Earlier work this paper cites.
Texture synthesis by non-parametric sampling
A. A. Efros and T. K. Leung · 1999
Earlier work this paper cites.
Reducing the dimensionality of data with neural networks
G. E. Hinton and R. R. Salakhutdinov · 2006
Earlier work this paper cites.
Extracting and composing robust features with denoising autoencoders
P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol · 2008
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
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D. P. Kingma and M. Welling · 2014
Earlier work this paper cites.
One weird trick for parallelizing convolutional neural networks
A. Krizhevsky · 2014
Earlier work this paper cites.
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Earlier work this paper cites.
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M. Mirza and S. Osindero · 2014
Earlier work this paper cites.
Fine-grained visual comparisons with local learning
A. Yu and K. Grauman · 2014
Earlier work this paper cites.
Deep generative image models using a laplacian pyramid of adversarial networks
E. L. Denton, S. Chintala, A. Szlam, and R. Fergus · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Earlier work this paper cites.
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
Earlier work this paper cites.
Learning structured output representation using deep conditional generative models
K. Sohn, X. Yan, and H. Lee · 2015
Earlier work this paper cites.
Infogan: interpretable representation learning by information maximizing generative adversarial nets
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 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.
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J. Donahue, P. Krähenbühl, and T. Darrell · 2016
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A. Dosovitskiy and T. Brox · 2016
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V. Dumoulin, I. Belghazi, B. Poole, O. Mastropietro, A. Lamb, M. Arjovsky, and A. Courville · 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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NIPS 2016 tutorial: Generative adversarial networks
I. Goodfellow · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Colorful image colorization
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Generative visual manipulation on the natural image manifold
J.-Y. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros · 2016
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