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We study the problem of transferring a sample in one domain to an analog sample in another domain.
Nonlinear total variation based noise removal algorithms
Leonid I. Rudin, Stanley Osher, and Emad Fatemi · 1992
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MNIST handwritten digit database
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Reading digits in natural images with unsupervised feature learning
Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, Bo Wu, and Andrew Y. Ng · 2011
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Marginalized denoising autoencoders for domain adaptation
Minmin Chen, Zhixiang Xu, Kilian Weinberger, and Fei Sha · 2012
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Unsupervised visual domain adaptation using subspace alignment
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State of the “art”: A taxonomy of artistic stylization techniques for images and video
J. E. Kyprianidis, J. Collomosse, T. Wang, and T. Isenberg · 2013
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Generative adversarial nets
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Conditional generative adversarial nets
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H.W. Ng and S. Winkler · 2014
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Deepface: Closing the gap to human-level performance in face verification
Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato, and Lior Wolf · 2014
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Image super-resolution using deep convolutional networks
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Deep face recognition
Generating images with perceptual similarity metrics based on deep networks
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Adam: A method for stochastic optimization
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