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We propose a new approach to Generative Adversarial Networks (GANs) to achieve an improved performance with additional robustness to its so-called and well recognized mode collapse.
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Image denoising via sparse and redundant representations over learned dictionaries
M. Elad and M. Aharon · 2006
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Online dictionary learning for sparse coding
J. Mairal, F. Bach, J. Ponce, and G. Sapiro · 2009
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Robust face recognition via sparse representation
J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma · 2009
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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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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
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Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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Mode regularized generative adversarial networks
T. Che, Y. Li, A. P. Jacob, Y. Bengio, and W. Li · 2016
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Adversarially learned inference
V. Dumoulin, I. Belghazi, B. Poole, O. Mastropietro, A. Lamb, M. Arjovsky, and A. Courville · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Unrolled generative adversarial networks
L. Metz, B. Poole, D. Pfau, and J. Sohl-Dickstein · 2016
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Amortised map inference for image super-resolution
C. K. Sønderby, J. Caballero, L. Theis, W. Shi, and F. Huszár · 2016
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Cloud removal based on sparse representation via multitemporal dictionary learning
M. Xu, X. Jia, M. Pickering, and A. J. Plaza · 2016
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Pixel-level domain transfer
D. Yoo, N. Kim, S. Park, A. S. Paek, and I. S. Kweon · 2016
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Class relatedness oriented-discriminative dictionary learning for multiclass image classification
D. Zhang, P. Liu, K. Zhang, H. Zhang, Q. Wang, and X. Jing · 2016
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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, et al · 2017
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Adversarial learning for neural dialogue generation
J. Li, W. Monroe, T. Shi, S. Jean, A. Ritter, and D. Jurafsky · 2017
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Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
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Pose guided person image generation
L. Ma, X. Jia, Q. Sun, B. Schiele, T. Tuytelaars, and L. Van Gool · 2017
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Dualgan: Unsupervised dual learning for image-to-image translation
Z. Yi, H. Zhang, P. Tan, and M. Gong · 2017
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Stackgan++: Realistic image synthesis with stacked generative adversarial networks
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Generating text via adversarial training
Y. Zhang, Z. Gan, and L. Carin · 2016
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M. Arjovsky, S. Chintala, and L. Bottou · 2017
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Began: Boundary equilibrium generative adversarial networks
D. Berthelot, T. Schumm, and L. Metz · 2017
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Word translation without parallel data
A. Conneau, G. Lample, M. Ranzato, L. Denoyer, and H. Jégou · 2017
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Improved training of wasserstein gans
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. C. Courville · 2017
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Progressive growing of gans for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2017
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H. Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, and D. Metaxas · 2017
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, and D. N. Metaxas · 2017
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Toward multimodal image-to-image translation
J.-Y. Zhu, R. Zhang, D. Pathak, T. Darrell, A. A. Efros, O. Wang, and E. Shechtman · 2017
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Spectral normalization for generative adversarial networks
T. Miyato, T. Kataoka, M. Koyama, and Y. Yoshida · 2018
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Optimal transportation view of generative adversarial networks
L. Na, G. Yang, A. Dongsheng, S. Kehua, L. Shixia, L. Zhongxuan, Y. Shing-Tung, and G. Xianfeng · 2019
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Nonlinear multi-scale super-resolution using deep learning
K. Tran, A. Panahi, A. Adiga, W. Sakla, and H. Krim · 2019
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