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Deep convolutional neural networks trained on large datsets have emerged as an intriguing alternative for compressing images and solving inverse problems such as denoising and compressive sensing.
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“A Wavelet Tour of Signal Processing: The Sparse Way”
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“Image denoising: Can plain neural networks compete with BM3D?”
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“A Mathematical Introduction to Compressive Sensing”
Simon Foucart and Holger Rauhut · 2013
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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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“U-Net: Convolutional networks for biomedical image segmentation”
O. Ronneberger, P. Fischer and T. Brox · 2015
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“Variational autoencoder for deep learning of images, labels and captions”
Y. Pu, Z. Gan, R. Henao, X. Yuan, C. Li, A. Stevens and L. Carin · 2016
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“Unsupervised representation learning with deep convolutional generative adversarial networks”
A. Radford, L. Metz and S. Chintala · 2016
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“Variable rate image compression with recurrent neural networks”
G. Toderici, S.. Malley, S.. Hwang, D. Vincent, D. Minnen, S. Baluja, M. Covell and R. Sukthankar · 2016
Cited alongside, same era.
“Soft-to-hard vector quantization for end-to-end learning compressible representations”
E. Agustsson, F. Mentzer, M. Tschannen, L. Cavigelli, R. Timofte, L. Benini and Luc. Gool · 2017
Cited alongside, same era.
“Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising”
K. Zhang, W. Zuo, Y. Chen, D. Meng and L. Zhang · 2017
Later among the works it cites.
“Deep denoising: Rate-optimal recovery of structured signals with a deep prior”
Reinhard Heckel, Wen Huang, Paul Hand and Vladislav Voroninski · 2018
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“Deep image prior”
D. Ulyanov, A. Vedaldi and V. Lempitsky · 2018
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“Compressed sensing with deep image prior and learned regularization” arXiv: 1806.06438
D. Van, A. Jalal, E. Price, S. Vishwanath and A.. Dimakis · 2018
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“fastMRI: An open dataset and benchmarks for accelerated MRI”
J. Zbontar et al · 2018
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A. Bora, A. Jalal, E. Price and A.. Dimakis · 2017
Cited alongside, same era.
“Learning to invert: Signal recovery via Deep Convolutional Networks”
A. Mousavi and R.. Baraniuk · 2017
Cited alongside, same era.
“Lossy image compression with compressive autoencoders”
L. Theis, W. Shi, A. Cunningham and F. Husz“’ar · 2017
Cited alongside, same era.
“Channel normalization in convolutional neural network avoids vanishing gradients”
Zhenwei Dai and Reinhard Heckel · 2019
Closest in time.
“Deep decoder: Concise image representations from untrained non-convolutional networks”
R. Heckel and P. Hand · 2019
Closest in time.