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In recent years, Generative Adversarial Networks have achieved impressive results in photorealistic image synthesis.
Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
T. Tieleman and G. Hinton · 2012
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Representation learning: A review and new perspectives
Y. Bengio, A. C. Courville, and P. Vincent · 2013
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Generative adversarial nets
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. C. Courville, and Y. Bengio · 2014
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Learning to disentangle factors of variation with manifold interaction
S. Reed, K. Sohn, Y. Zhang, and H. Lee · 2014
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Shapenet: An information-rich 3d model repository
A. X. Chang, T. A. Funkhouser, L. J. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
X. Chen, X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 2016
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Attend, infer, repeat: Fast scene understanding with generative models
S. M. A. Eslami, N. Heess, T. Weber, Y. Tassa, D. Szepesvari, K. Kavukcuoglu, and G. E. Hinton · 2016
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Tagger: Deep unsupervised perceptual grouping
K. Greff, A. Rasmus, M. Berglund, T. H. Hao, H. Valpola, and J. Schmidhuber · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Learning what and where to draw
S. E. Reed, Z. Akata, S. Mohan, S. Tenka, B. Schiele, and H. Lee · 2016
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Generative image modeling using style and structure adversarial networks
X. Wang and A. Gupta · 2016
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Photographic image synthesis with cascaded refinement networks
Q. Chen and V. Koltun · 2017
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Neural expectation maximization
K. Greff, S. van Steenkiste, and J. Schmidhuber · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. J. Belongie · 2017
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Image-to-image translation with conditional adversarial networks
P. Isola, J. Zhu, T. Zhou, and A. A. Efros · 2017
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The numerics of GANs
L. Mescheder, S. Nowozin, and A. Geiger · 2017
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Interpretable transformations with encoder-decoder networks
D. E. Worrall, S. J. Garbin, D. Turmukhambetov, and G. J. Brostow · 2017
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LR-GAN: layered recursive generative adversarial networks for image generation
J. Yang, A. Kannan, D. Batra, and D. Parikh · 2017
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Geometric image synthesis
H. Alhaija, S. Mustikovela, A. Geiger, and C. Rother · 2018
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Unsupervised learning of shape and pose with differentiable point clouds
E. Insafutdinov and A. Dosovitskiy · 2018
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Image generation from scene graphs
J. Johnson, A. Gupta, and L. Fei-Fei · 2018
Cited alongside, same era.
Progressive growing of GANs for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2018
Cited alongside, same era.
Monet: Unsupervised scene decomposition and representation
C. P. Burgess, L. Matthey, N. Watters, R. Kabra, I. Higgins, M. M. Botvinick, and A. Lerchner · 2019
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GENESIS: generative scene inference and sampling with object-centric latent representations
M. Engelcke, A. R. Kosiorek, O. P. Jones, and I. Posner · 2019
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Multi-object representation learning with iterative variational inference
K. Greff, R. L. Kaufmann, R. Kabra, N. Watters, C. Burgess, D. Zoran, L. Matthey, M. Botvinick, and A. Lerchner · 2019
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Escaping plato’s cave: 3d shape from adversarial rendering
P. Henzler, N. J. Mitra, and T. Ritschel · 2019
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A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
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DIFFER: moving beyond 3d reconstruction with differentiable feature rendering
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Neural 3d mesh renderer
H. Kato, Y. Ushiku, and T. Harada · 2018
Cited alongside, same era.
Sequential attend, infer, repeat: Generative modelling of moving objects
A. R. Kosiorek, H. Kim, Y. W. Teh, and I. Posner · 2018
Cited alongside, same era.
Which training methods for gans do actually converge?
L. Mescheder, A. Geiger, and S. Nowozin · 2018
Cited alongside, same era.
Spectral normalization for generative adversarial networks
T. Miyato, T. Kataoka, M. Koyama, and Y. Yoshida · 2018
Cited alongside, same era.
Unsupervised geometry-aware representation for 3d human pose estimation
H. Rhodin, M. Salzmann, and P. Fua · 2018
Cited alongside, same era.
Relational neural expectation maximization: Unsupervised discovery of objects and their interactions
S. van Steenkiste, M. Chang, K. Greff, and J. Schmidhuber · 2018
Cited alongside, same era.
N. K. L., P. Mandikal, V. Jampani, and R. V. Babu · 2019
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Layoutgan: Generating graphic layouts with wireframe discriminators
J. Li, J. Yang, A. Hertzmann, J. Zhang, and T. Xu · 2019
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Soft rasterizer: A differentiable renderer for image-based 3d reasoning
S. Liu, T. Li, W. Chen, and H. Li · 2019
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Challenging common assumptions in the unsupervised learning of disentangled representations
F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, and O. Bachem · 2019
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Hologan: Unsupervised learning of 3d representations from natural images
T. Nguyen-Phuoc, C. Li, L. Theis, C. Richardt, and Y.-L. Yang · 2019
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RGBD-GAN: unsupervised 3d representation learning from natural image datasets via RGBD image synthesis
A. Noguchi and T. Harada · 2019
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Deepvoxels: Learning persistent 3d feature embeddings
V. Sitzmann, J. Thies, F. Heide, M. Nießner, G. Wetzstein, and M. Zollhofer · 2019
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R-SQAIR: relational sequential attend, infer, repeat
A. Stanic and J. Schmidhuber · 2019
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Singan: Learning a generative model from a single natural image
T. D. Tamar Rott Shaham and T. Michaeli · 2019
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A layer-based sequential framework for scene generation with gans
M. O. Turkoglu, W. Thong, L. J. Spreeuwers, and B. Kicanaoglu · 2019
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Image generation from layout
B. Zhao, L. Meng, W. Yin, and L. Sigal · 2019
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Structured3d: A large photo-realistic dataset for structured 3d modeling
J. Zheng, J. Zhang, J. Li, R. Tang, S. Gao, and Z. Zhou · 2019
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