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The interest of the deep learning community in image synthesis has grown massively in recent years.
Image denoising by sparse 3-d transform-domain collaborative filtering
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian · 2007
Earlier work this paper cites.
From sparse solutions of systems of equations to sparse modeling of signals and images
A. Bruckstein, D. Donoho, and M. Elad · 2009
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Sparse and redundant representations: from theory to applications in signal and image processing
M. Elad · 2010
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Convolutional matching pursuit and dictionary training
A. Szlam, K. Kavukcuoglu, and Y. LeCun · 2010
Earlier work this paper cites.
Image super-resolution via sparse representation
J. Yang, J. Wright, T. S. Huang, and Y. Ma · 2010
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Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization
W. Dong, L. Zhang, G. Shi, and X. Wu · 2011
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Shift-invariance sparse coding for audio classification
R. Grosse, R. Raina, H. Kwong, and A.Y. Ng · 2012
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Learning multiple layers of features from tiny images
A. Krizhevsky · 2012
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Fast convolutional sparse coding
H. Bristow, A. Eriksson, and S. Lucey · 2013
Earlier work this paper cites.
A fast proximal method for convolutional sparse coding
R. Chalasani, J. C. Principe, and N. Ramakrishnan · 2013
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Nonlocally centralized sparse representation for image restoration
W. Dong, L. Zhang, G. Shi, and X. Li · 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
Earlier work this paper cites.
Sparse modeling for image and vision processing
J. Mairal, F. Bach, and J. Ponce · 2014
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Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
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Convolutional sparse coding for image super-resolution
S. Gu, W. Zuo, Q. Xie, D. Meng, X. Feng, and L. Zhang · 2015
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Fast and flexible convolutional sparse coding
F. Heide, W. Heidrich, and G. Wetzstein · 2015
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
Cited alongside, same era.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Cited alongside, same era.
Image fusion with convolutional sparse representation
Y. Liu, X. Chen, R. K. Ward, and Z. Jane Wang · 2016
Cited alongside, same era.
Convolutional neural networks analyzed via convolutional sparse coding
V. Papyan, Y. Romano, and M. Elad · 2016
Cited alongside, same era.
Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
Cited alongside, same era.
Spectral normalization for generative adversarial networks
T. Miyato, T. Kataoka, M. Koyama, and Y. Yoshida · 2018
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Multilayer convolutional sparse modeling: Pursuit and dictionary learning
J. Sulam, V. Papyan, Y. Romano, and M. Elad · 2018
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Projecting on to the multi-layer convolutional sparse coding model
J. Sulam, V. Papyan, Y. Romano, and M. Elad · 2018
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Deep image prior
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2018
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Large scale GAN training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2019
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A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
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Wasserstein generative adversarial networks
M. Arjovsky, S. Chintala, and L. Bottou · 2017
Cited alongside, same era.
Improved training of wasserstein gans
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. C. Courville · 2017
Cited alongside, same era.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
Cited alongside, same era.
Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2017
Cited alongside, same era.
Least squares generative adversarial networks
X. Mao, Q. Li, H. Xie, R. Y. K. Lau, Z. Wang, and S. P. Smolley · 2017
Cited alongside, same era.
Convolutional dictionary learning via local processing
V. Papyan, Y. Romano, M. Elad, and J. Sulam · 2017
Cited alongside, same era.
Sparse generative adversarial network
S. Mahdizadehaghdam, A. Panahi, and H. Krim · 2019
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Mode seeking generative adversarial networks for diverse image synthesis
Q. Mao, H.Y. Lee, H.Y. Tseng, S. Ma, and M.H. Yang · 2019
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A greedy approach to
E. Plaut and R. Giryes · 2019
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Rethinking the csc model for natural images
D. Simon and M. Elad · 2019
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Self-supervised GAN: analysis and improvement with multi-class minimax game
T. Tran, V.H. Tran, N.B. Nguyen, L. Yang, and N.M. Cheung · 2019
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Self-attention generative adversarial networks
H. Zhang, I. Goodfellow, D. Metaxas, and A. Odena · 2019
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A local block coordinate descent algorithm for the csc model
E. Zisselman, J. Sulam, and M. Elad · 2019
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Catastrophic forgetting and mode collapse in gans
H. Thanh-Tung and T. Tran · 2020
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Differentiable augmentation for data-efficient gan training
S. Zhao, Z. Liu, J. Lin, J.-Y. Zhu, and S. Han · 2020
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