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We explore the question of whether the representations learned by classifiers can be used to enhance the quality of generative models.
Image quality assessment: from error visibility to structural similarity
Wang, Zhou, Bovik, A.C., Sheikh, H.R., and Simoncelli, E.P · 2003
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Labeled faces in the wild: A database for studying face recognition in unconstrained environments
Huang, Gary B., Ramesh, Manu, Berg, Tamara, and Learned-Miller, Erik · 2007
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Learning multiple layers of features from tiny images, 2009
Krizhevsky, Alex and Hinton, Geoffrey · 2009
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Reading digits in natural images with unsupervised feature learning
Netzer, Yuval, Wang, Tao, Coates, Adam, Bissacco, Alessandro, Wu, Bo, and Ng, Andrew Y · 2011
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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
Hinton, G., Deng, Li, Yu, Dong, Dahl, G.E., Mohamed, A., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T.N., and Kingsbury, B · 2012
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Imagenet classification with deep convolutional neural networks
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
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Estimating or propagating gradients through stochastic neurons for conditional computation
Bengio, Yoshua, Léonard, Nicholas, and Courville, Aaron · 2013
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Auto-Encoding Variational Bayes
Kingma, D. P and Welling, M · 2013
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Generative Adversarial Networks
Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y · 2014
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Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Jimenez Rezende, D., Mohamed, S., and Wierstra, D · 2014
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Deep learning in neural networks: An overview
Schmidhuber, Jürgen · 2014
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Very deep convolutional networks for large-scale image recognition
Simonyan, Karen and Zisserman, Andrew · 2014
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Deep generative image models using a laplacian pyramid of adversarial networks
Autoencoding beyond pixels using a learned similarity metric
Larsen, Anders Boesen Lindbo, Sønderby, Søren Kaae, and Winther, Ole · 2015
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Deep learning face attributes in the wild
Liu, Ziwei, Luo, Ping, Wang, Xiaogang, and Tang, Xiaoou · 2015
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Makhzani, Alireza, Shlens, Jonathon, Jaitly, Navdeep, and Goodfellow, Ian J · 2015
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Generating images from captions with attention
Mansimov, Elman, Parisotto, Emilio, Ba, Lei Jimmy, and Salakhutdinov, Ruslan · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
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Denton, Emily L., Chintala, Soumith, Szlam, Arthur, and Fergus, Robert · 2015
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DRAW: A recurrent neural network for image generation
Gregor, Karol, Danihelka, Ivo, Graves, Alex, and Wierstra, Daan · 2015
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A neural algorithm of artistic style
Gatys, Leon A., Ecker, Alexander S., and Bethge, Matthias
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Gatys, Leon A., Ecker, Alexander S., and Bethge, Matthias
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A note on the evaluation of generative models
Theis, L., van den Oord, A., and Bethge, M
Cited in the paper.
A note on the evaluation of generative models
Theis, L., van den Oord, A., and Bethge, M
Cited in the paper.
Radford, Alec, Metz, Luke, and Chintala, Soumith · 2015
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Learning to generate images with perceptual similarity metrics
Ridgeway, Karl, Snell, Jake, Roads, Brett, Zemel, Richard S., and Mozer, Michael C · 2015
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang and Tang, Xiaoou · 2015
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