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Dramatic advances in generative models have resulted in near photographic quality for artificially rendered faces, animals and other objects in the natural world.
The bull (le taureau), states i-x, 1946
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V. K. Mansinghka, T. D. Kulkarni, Y. N. Perov, and J. Tenenbaum · 2013
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Distributed representations of words and phrases and their compositionality
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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D. P. Kingma, S. Mohamed, D. J. Rezende, and M. Welling · 2014
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Opendr: An approximate differentiable renderer
M. M. Loper and M. J. Black · 2014
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Stochastic backpropagation and approximate inference in deep generative models
D. J. Rezende, S. Mohamed, and D. Wierstra · 2014
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Dropout: a simple way to prevent neural networks from overfitting
Recurrent dropout without memory loss
S. Semeniuta, A. Severyn, and E. Barth · 2016
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beta-vae: Learning basic visual concepts with a constrained variational framework
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N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2014
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Recurrent neural network regularization
W. Zaremba, I. Sutskever, and O. Vinyals · 2014
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S. Bengio, O. Vinyals, N. Jaitly, and N. Shazeer · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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The informed sampler: A discriminative approach to bayesian inference in generative computer vision models
V. Jampani, S. Nowozin, M. Loper, and P. V. Gehler · 2015
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Ł. Kaiser and I. Sutskever · 2015
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Deep convolutional inverse graphics network
T. D. Kulkarni, W. F. Whitney, P. Kohli, and J. Tenenbaum · 2015
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I. Higgins, L. Matthey, A. Pal, C. Burgess, X. Glorot, M. Botvinick, S. Mohamed, and A. Lerchner · 2017
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Building machines that learn and think like people
B. M. Lake, T. D. Ullman, J. B. Tenenbaum, and S. J. Gershman · 2017
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Neural discrete representation learning
A. van den Oord, O. Vinyals, et al · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
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Large scale gan training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2018
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Learning to infer graphics programs from hand-drawn images
K. Ellis, D. Ritchie, A. Solar-Lezama, and J. Tenenbaum · 2018
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Parametrized hierarchical procedures for neural programming
R. Fox, R. Shin, S. Krishnan, K. Goldberg, D. Song, and I. Stoica · 2018
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Synthesizing programs for images using reinforced adversarial learning
Y. Ganin, T. Kulkarni, I. Babuschkin, S. Eslami, and O. Vinyals · 2018
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A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2018
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Glow: Generative flow with invertible 1x1 convolutions
D. P. Kingma and P. Dhariwal · 2018
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Spacesheets: Interactive latent space exploration through a spreadsheet interface
B. Loh and T. White · 2018
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Umap: Uniform manifold approximation and projection for dimension reduction
L. McInnes, J. Healy, and J. Melville · 2018
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Film: Visual reasoning with a general conditioning layer
E. Perez, F. Strub, H. De Vries, V. Dumoulin, and A. Courville · 2018
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Tensor2tensor for neural machine translation
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Figr: Few-shot image generation with reptile
L. Clouâtre and M. Demers · 2019
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