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Deep neural networks, in particular convolutional neural networks, have become highly effective tools for compressing images and solving inverse problems including denoising, inpainting, and reconstruction from few and noisy measurements.
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Jean-Luc Starck, E.. Candes and D.. Donoho · 2002
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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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Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini and Luc Gool · 2017
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“Compressed sensing using generative models”
A. Bora, A. Jalal, E. Price and A.. Dimakis · 2017
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