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Training generative adversarial networks (GANs) on high quality (HQ) images involves important computing resources.
Measure Theory
Bogachev, V. I. 2007 · 2007
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Optimal transport: old and new , volume 338
Villani, C. 2008 · 2008
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MNIST handwritten digit database
LeCun, Y.; and Cortes, C. 2010 · 2010
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Decaf: A deep convolutional activation feature for generic visual recognition
Donahue, J.; Jia, Y.; Vinyals, O.; Hoffman, J.; Zhang, N.; Tzeng, E.; and Darrell, T. 2014 · 2014
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Generative Adversarial Nets
Goodfellow, I.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A.; and Bengio, Y. 2014 · 2014
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Makhzani, A.; Shlens, J.; Jaitly, N.; and Goodfellow, I. J. 2015 · 2015
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Improved Techniques for Training GANs
Salimans, T.; Goodfellow, I. J.; Zaremba, W.; Cheung, V.; Radford, A.; and Chen, X. 2016 · 2016
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Wasserstein Generative Adversarial Networks
Arjovsky, M.; Chintala, S.; and Bottou, L. 2017 · 2017
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Donahue, J.; Krähenbühl, P.; and Darrell, T. 2017 · 2017
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Adversarially Learned Inference
Dumoulin, V.; Belghazi, I.; Poole, B.; Lamb, A.; Arjovsky, M.; Mastropietro, O.; and Courville, A. C. 2017 · 2017
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Improved Training of Wasserstein GANs
Gulrajani, I.; Ahmed, F.; Arjovsky, M.; Dumoulin, V.; and Courville, A. C. 2017 · 2017
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Heusel, M.; Ramsauer, H.; Unterthiner, T.; Nessler, B.; and Hochreiter, S. 2017 · 2017
Cited alongside, same era.
Tolstikhin, I. O.; Bousquet, O.; Gelly, S.; and Schölkopf, B. 2017 · 2017
Cited alongside, same era.
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Xiao, H.; Rasul, K.; and Vollgraf, R. 2017 · 2017
Cited alongside, same era.
Aigner, S.; and Körner, M. 2018 · 2018
Cited alongside, same era.
Transferring GANs: Generating Images from Limited Data
Wang, Y.; Wu, C.; Herranz, L.; van de Weijer, J.; Gonzalez-Garcia, A.; and Raducanu, B. 2018 · 2018
Later among the works it cites.
Adversarially Regularized Autoencoders
Zhao, J. J.; Kim, Y.; Zhang, K.; Rush, A. M.; and LeCun, Y. 2018 · 2018
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TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks
Haidar, M. A.; and Rezagholizadeh, M. 2019 · 2019
Closest in time.
A Style-Based Generator Architecture for Generative Adversarial Networks
Karras, T.; Laine, S.; and Aila, T. 2019 · 2019
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Sinkhorn AutoEncoders
Patrini, G.; Carioni, M.; Forré, P.; Bhargav, S.; Welling, M.; van den Berg, R.; Genewein, T.; and Nielsen, F. 2019 · 2019
Closest in time.
URL https://github.com/NVlabs/stylegan
StyleGAN github repository. 2019 · 2019
Closest in time.
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Belghazi, M. I.; Rajeswar, S.; Mastropietro, O.; Rostamzadeh, N.; Mitrovic, J.; and Courville, A. C. 2018 · 2018
Cited alongside, same era.
Pros and cons of GAN evaluation measures
Borji, A. 2019 · 2018
Cited alongside, same era.
Deep Learning for Classical Japanese Literature
Clanuwat, T.; Bober-Irizar, M.; Kitamoto, A.; Lamb, A.; Yamamoto, K.; and Ha, D. 2018 · 2018
Cited alongside, same era.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Karras, T.; Aila, T.; Laine, S.; and Lehtinen, J. 2018a · 2018
Cited alongside, same era.
URL https://github.com/tkarras/progressive˙growing˙of˙gans
ProGAN github repository. 2018 · 2018
Cited alongside, same era.
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
Shan, H.; Zhang, Y.; Yang, Q.; Kruger, U.; Kalra, M. K.; Sun, L.; Cong, W.; and Wang, G. 2018 · 2018
Cited alongside, same era.
A Survey on Deep Transfer Learning
Tan, C.; Sun, F.; Kong, T.; Zhang, W.; Yang, C.; and Liu, C. 2018 · 2018
Cited alongside, same era.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Karras, T.; Aila, T.; Laine, S.; and Lehtinen, J. 2018b
Cited in the paper.
URL https://github.com/podgorskiy/ALAE
ALAE github repository. 2020 · 2020
Closest in time.
URL http://www.idris.fr/jean-zay/jean-zay-presentation.html
Jean Zay website. 2020 · 2020
Closest in time.
URL https://github.com/maskedforreview/mindgan
Mind2mind github repository. 2020 · 2020
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Adversarial Latent Autoencoders
Pidhorskyi, S.; Adjeroh, D. A.; and Doretto, G. 2020 · 2020
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