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Here, we explore the low-level statistics of images generated by state-of-the-art deep generative models.
The power spectrum and the correlation function of the television signal
N. Deriugin · 1956
Earlier work this paper cites.
Image descriptors for displays
R. W. Cohen, I. Gorog, and C. R. Carlson · 1975
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Color and spatial structure in natural scenes
G. Burton and I. R. Moorhead · 1987
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Relations between the statistics of natural images and the response properties of cortical cells
D. J. Field · 1987
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Statistics of natural images: Scaling in the woods
D. L. Ruderman and W. Bialek · 1994
Earlier work this paper cites.
The size of objects in natural and artificial images
L. Alvarez, Y. Gousseau, and J.-M. Morel · 1999
Earlier work this paper cites.
Invariant statistics and coding of natural microimages
D. Geman and A. Koloydenko · 1999
Earlier work this paper cites.
Statistics of natural images and models
J. Huang and D. Mumford · 1999
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Scale mixtures of gaussians and the statistics of natural images
M. J. Wainwright and E. P. Simoncelli · 1999
Earlier work this paper cites.
Occlusion models for natural images: A statistical study of a scale-invariant dead leaves model
A. B. Lee, D. Mumford, and J. Huang · 2001
Earlier work this paper cites.
Stochastic models for generic images
D. Mumford and B. Gidas · 2001
Cited alongside, same era.
On advances in statistical modeling of natural images
A. Srivastava, A. B. Lee, E. P. Simoncelli, and S.-C. Zhu · 2003
Cited alongside, same era.
Statistical modeling and conceptualization of visual patterns
S.-C. Zhu · 2003
Cited alongside, same era.
A six-stimulus theory for stochastic texture
J.-M. Geusebroek and A. W. Smeulders · 2005
Cited alongside, same era.
Visual perception and the statistical properties of natural scenes
W. S. Geisler · 2008
Cited alongside, same era.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Cited alongside, same era.
Color-to-grayscale: does the method matter in image recognition?
C. Kanan and G. W. Cottrell · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Later among the works it cites.
Auto-encoding variational bayesge
D. P. Kingma and M. Welling · 2013
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Natural Image Statistics for Human and Computer Vision
D. Zoran · 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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Deep generative image models using a laplacian pyramid of adversarial networks
E. L. Denton, S. Chintala, R. Fergus, et al · 2015
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A biologically plausible model for rapid natural scene identification
S. Ghebreab, S. Scholte, V. Lamme, and A. Smeulders · 2009
Cited alongside, same era.
Natural Image Statistics: A Probabilistic Approach to Early Computational Vision
A. Hyvärinen, J. Hurri, and P. O. Hoyer · 2009
Cited alongside, same era.
Brain responses strongly correlate with weibull image statistics when processing natural images
H. S. Scholte, S. Ghebreab, L. Waldorp, A. W. Smeulders, and V. A. Lamme · 2009
Cited alongside, same era.
An image statistics–based model for fixation prediction
V. Yanulevskaya, J. B. Marsman, F. Cornelissen, and J.-M. Geusebroek · 2011
Cited alongside, same era.
Later among the works it cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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A note on the evaluation of generative models
L. Theis, A. v. d. Oord, and M. Bethge · 2015
Later among the works it cites.
Generating images with recurrent adversarial networks
D. J. Im, C. D. Kim, H. Jiang, and R. Memisevic · 2016
Later among the works it cites.
M. Arjovsky, S. Chintala, and L. Bottou · 2017
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