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We propose a new approach to the problem of optimizing autoencoders for lossy image compression.
Scale mixtures of normal distributions
D. F. Andrews and C. L. Mallows · 1974
Earlier work this paper cites.
Learning representations by back-propagating errors
D. E. Rumelhart, G. E. Hinton, and R. J. Williams · 1986
Earlier work this paper cites.
The JPEG still picture compression standard
G. K. Wallace · 1991
Earlier work this paper cites.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
R. J. Williams · 1992
Earlier work this paper cites.
JPEG still image data compression standard
W. B. Pennebaker and J. L. Mitchell · 1993
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
The JPEG 2000 still image compression standard
A. Skodras, C. Christopoulos, and T. Ebrahimi · 2001
Earlier work this paper cites.
Image denoising using scale mixtures of gaussians in the wavelet domain
J. Portilla, V. Strela, M. J. Wainwright, and E. P. Simoncelli · 2003
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, , and Y. Bengio · 2014
Earlier work this paper cites.
Canada day parade, 2014
GoToVan · 2014
Earlier work this paper cites.
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A. van den Oord and B. Schrauwen · 2014
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scikit-image: image processing in Python
S. van der Walt, J. L. Schönberger, J. Nunez-Iglesias, F. Boulogne, J. D. Warner, N. Yager, E. Gouillart, and T. Yu · 2014
Cited alongside, same era.
Lasagne: First release, 2015
S. Dieleman, J. Schluter, C. Raffel, E. Olson, S. K. Sonderby, D. Nouri, D. Maturana, M. Thoma, E. Battenberg, J. Kelly, J. De Fauw, M. Heilman, D. Moitinho de Almeida, B. McFee, H. Weideman, G. Takacs, P. de Rivaz, J. Crall, G. Sanders, K. Rasul, C. Liu, G. French, and J. Degrave · 2015
Cited alongside, same era.
Super-resolution with deep convolutional sufficient statistics
J. Bruna, P. Sprechmann, and Y. LeCun · 2016
Later among the works it cites.
Generating images with perceptual similarity metrics based on deep networks, 2016
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Later among the works it cites.
Image style transfer using convolutional neural networks
L. A. Gatys, A. S. Ecker, and M. Bethge · 2016
Later among the works it cites.
Towards conceptual compression, 2016
K. Gregor, I. Danihelka, A. Graves, and D. Wierstra · 2016
Later among the works it cites.
Perceptual image quality assessment using a normalized Laplacian pyramid
V. Laparra, J. Ballé, and E. P. Simoncelli · 2016
Later among the works it cites.
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End-to-end optimization of nonlinear transform codes for perceptual quality
J. Ballé, V. Laparra, and E. P. Simoncelli · 2016
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Variable rate image compression with recurrent neural networks
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Full resolution image compression with recurrent neural networks, 2016b
G. Toderici, D. Vincent, N. Johnston, S. J. Hwang, D. Minnen, J. Shor, and M. Covell
Cited in the paper.
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2016
Later among the works it cites.
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
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Later among the works it cites.
Lightweight Lossy Compression of Biometric Patterns via Denoising Autoencoders
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Theano: A Python framework for fast computation of mathematical expressions, 2016
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A note on the evaluation of generative models
L. Theis, A. van den Oord, and M. Bethge · 2016
Later among the works it cites.