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A deep image compression scheme is proposed in this paper, offering the state-of-the-art compression efficiency, against the traditional JPEG, JPEG2000, BPG and those popular learning based methodologies.
The jpeg still picture compression standard
G. K. Wallace · 1992
Earlier work this paper cites.
Rate-distortion optimization for video compression
G. J. Sullivan and T. Wiegand · 1998
Earlier work this paper cites.
Long short-term memory in recurrent neural networks
F. Gers · 2001
Earlier work this paper cites.
Multiscale structural similarity for image quality assessment
Z. Wang, E. P. Simoncelli, and A. C. Bovik · 2003
Earlier work this paper cites.
Methodology for the subjective assessment of the quality of television pictures, 2012
I.-R. BT.500-13 · 2012
Earlier work this paper cites.
JPEG2000 image compression fundamentals, standards and practice: image compression fundamentals, standards and practice
D. Taubman and M. Marcellin · 2012
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Earlier work this paper cites.
Deep multi-scale video prediction beyond mean square error
M. Mathieu, C. Couprie, and Y. LeCun · 2015
Cited alongside, same era.
End-to-end optimized image compression
J. Ballé, V. Laparra, and E. P. Simoncelli · 2016
Cited alongside, same era.
Bpg image format (2017)
F. Bellard · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Pixel recurrent neural networks
A. v. d. Oord, N. Kalchbrenner, and K. Kavukcuoglu · 2016
Cited alongside, same era.
Full resolution image compression with recurrent neural networks
Learning convolutional networks for content-weighted image compression
M. Li, W. Zuo, S. Gu, D. Zhao, and D. Zhang · 2017
Later among the works it cites.
Real-time adaptive image compression
O. Rippel and L. Bourdev · 2017
Later among the works it cites.
Lossy image compression with compressive autoencoders
L. Theis, W. Shi, A. Cunningham, and F. Huszár · 2017
Later among the works it cites.
Challenge on learned image compression 2018
2018
Later among the works it cites.
Generative adversarial networks for extreme learned image compression
E. Agustsson, M. Tschannen, F. Mentzer, R. Timofte, and L. Van Gool · 2018
Later among the works it cites.
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G. Toderici, D. Vincent, N. Johnston, S.-J. Hwang, D. Minnen, J. Shor, and M. Covell · 2016
Cited alongside, same era.
Conditional image generation with pixelcnn decoders
A. van den Oord, N. Kalchbrenner, L. Espeholt, O. Vinyals, A. Graves, et al · 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 L. V. Gool · 2017
Cited alongside, same era.
Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Cunningham, A. Acosta, A. P. Aitken, A. Tejani, J. Totz, Z. Wang, et al · 2017
Cited alongside, same era.
Kodak lossless true color image suite (photocd pcd0992)
E. Kodak
Cited in the paper.
Efficient nonlinear transforms for lossy image compression
J. Ballé · 2018
Later among the works it cites.
Variational image compression with a scale hyperprior
J. Ballé, D. Minnen, S. Singh, S. J. Hwang, and N. Johnston · 2018
Later among the works it cites.
Learning a code-space predictor by exploiting intra-image-dependencies
J. P. Klopp, Y.-C. F. Wang, S.-Y. Chien, and L.-G. Chen · 2018
Later among the works it cites.
Conditional probability models for deep image compression
F. Mentzer, E. Agustsson, M. Tschannen, R. Timofte, and L. Van Gool · 2018
Later among the works it cites.