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We propose a new algorithm for training generative adversarial networks that jointly learns latent codes for both identities (e.g.
Signature verification using a "Siamese" time delay neural network
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Dong Yi, Zhen Lei, Shengcai Liao, and Stan Z Li · 2014
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Multi-view perceptron: a deep model for learning face identity and view representations
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Generative adversarial text to image synthesis
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A note on the evaluation of generative models
Lucas Theis, Aäron van den Oord, and Matthias Bethge · 2016
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A discriminative feature learning approach for deep face recognition
Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao · 2016
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Attribute2Image: Conditional image generation from visual attributes
Xinchen Yan, Jimei Yang, Kihyuk Sohn, and Honglak Lee · 2016
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Face aging with conditional generative adversarial networks
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InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets
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Image style transfer using convolutional neural networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016
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MS-Celeb-1M: A dataset and benchmark for large scale face recognition
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Coupled generative adversarial networks
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Disentangling factors of variation in deep representation using adversarial training
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BEGAN: Boundary equilibrium generative adversarial networks
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