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Generative adversarial networks (GANs) transform low-dimensional latent vectors into visually plausible images.
“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.
“Labeled faces in the wild: A database for studying face recognition in unconstrained environments,”
Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller, · 2007
Earlier work this paper cites.
“A tour of modern image filtering: New insights and methods, both practical and theoretical,”
P. Milanfar, · 2013
Earlier work this paper cites.
“Generative adversarial nets,”
Ian et al. Goodfellow, · 2014
Earlier work this paper cites.
“Unsupervised representation learning with deep convolutional generative adversarial networks,”
Alec Radford, Luke Metz, and Soumith Chintala, · 2015
Earlier work this paper cites.
“Understanding deep image representations by inverting them,”
Aravindh Mahendran and Andrea Vedaldi, · 2015
Earlier work this paper cites.
“Deep learning face attributes in the wild,”
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang, · 2015
Earlier work this paper cites.
“The GAN Zoo,” https://deephunt.in/the-gan-zoo-79597dc8c347
Avinash Hindupur, · 2016
Cited alongside, same era.
“Adversarial feature learning,”
Jeff Donahue, Philipp Krähenbühl, and Trevor Darrell, · 2016
Cited alongside, same era.
“Inverting the generator of a generative adversarial network,”
Antonia Creswell and Anil Anthony Bharath, · 2016
Cited alongside, same era.
“Beyond a gaussian denoiser: Residual learning of deep CNN for image denoising,”
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang, · 2016
Cited alongside, same era.
“Unrolled generative adversarial networks,”
Luke Metz, Ben Poole, David Pfau, and Jascha Sohl-Dickstein, · 2016
“Precise recovery of latent vectors from generative adversarial networks,”
Zachary C. Lipton and Subarna Tripathi, · 2017
Later among the works it cites.
“Ffdnet: Toward a fast and flexible solution for CNN based image denoising,”
Kai Zhang, Wangmeng Zuo, and Lei Zhang, · 2017
Later among the works it cites.
“Image denoising via cnns: An adversarial approach,”
Nithish Divakar and R. Venkatesh Babu, · 2017
Later among the works it cites.
“Adversarially learned inference,”
Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martin Arjovsky, Olivier Mastropietro, and Aaron Courville, · 2017
Later among the works it cites.
“Compressed sensing using generative models,”
Ashish Bora, Ajil Jalal, Eric Price, and Alexandros G. Dimakis, · 2017
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Cited alongside, same era.
Brandon Amos, · 2016
Cited alongside, same era.
Enhancing Symmetry in GAN Generated Fashion Images
Vishnu Makkapati and Arun Patro, · 2017
Cited alongside, same era.
Later among the works it cites.
“Learning to avoid errors in gans by manipulating input spaces,”
Alexander B. Jung, · 2017
Later among the works it cites.