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The Caltech-UCSD Birds-200-2011 Dataset
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B. Fernando, A. Habrard, M. Sebban, and T. Tuytelaars · 2013
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Spatial Pattern Templates for Recognition of Objects with Regular Structure
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Generative adversarial nets
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Generative adversarial nets
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Multi-digit number recognition from street view imagery using deep convolutional neural networks
I. J. Goodfellow, Y. Bulatov, J. Ibarz, S. Arnoud, and V. D. Shet · 2014
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A data-driven approach to cleaning large face datasets
H. Ng and S. Winkler · 2014
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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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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Y. Aytar, L. Castrejon, C. Vondrick, H. Pirsiavash, and A. Torralba · 2016
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Unsupervised pixel-level domain adaptation with generative adversarial networks
K. Bousmalis, N. Silberman, D. Dohan, D. Erhan, and D. Krishnan · 2016
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Neural photo editing with introspective adversarial networks
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
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Domain-adversarial training of neural networks
Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. Lempitsky · 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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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and F. Li · 2016
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Learning to generate images of outdoor scenes from attributes and semantic layouts
L. Karacan, Z. Akata, A. Erdem, and E. Erdem · 2016
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Attribute2image: Conditional image generation from visual attributes
X. Yan, J. Yang, K. Sohn, and H. Lee · 2016
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Energy-based generative adversarial network
J. J. Zhao, M. Mathieu, and Y. LeCun · 2016
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Wasserstein generative adversarial networks
M. Arjovsky, S. Chintala, and L. Bottou · 2017
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Learning to discover cross-domain relations with generative adversarial networks
T. Kim, M. Cha, H. Kim, J. K. Lee, and J. Kim · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. P. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2017
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Visual attribute transfer through deep image analogy
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L. Metz, B. Poole, D. Pfau, and J. Sohl-Dickstein · 2016
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Generative adversarial text to image synthesis
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 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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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, X. Chen, and X. Chen · 2016
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Improved techniques for training gans
T. Salimans, I. J. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Scribbler: Controlling deep image synthesis with sketch and color
P. Sangkloy, J. Lu, C. Fang, F. Yu, and J. Hays · 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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J. Liao, Y. Yao, L. Yuan, G. Hua, and S. B. Kang · 2017
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Unsupervised image-to-image translation networks
M. Liu, T. Breuel, and J. Kautz · 2017
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Conditional image synthesis with auxiliary classifier GANs
A. Odena, C. Olah, and J. Shlens · 2017
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Learning from simulated and unsupervised images through adversarial training
A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb · 2017
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Amortised MAP inference for image super-resolution
C. K. Sønderby, J. Caballero, L. Theis, W. Shi, and F. Huszár · 2017
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Unsupervised cross-domain image generation
Y. Taigman, A. Polyak, and L. Wolf · 2017
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Dualgan: Unsupervised dual learning for image-to-image anslation
Z. Yi, H. Zhang, P. Tan, and M. Gong · 2017
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Huang, X. Wang, and D. N. Metaxas · 2017
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