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Generative Adversarial Networks (GANs) have shown remarkable performance in image synthesis tasks, but typically require a large number of training samples to achieve high-quality synthesis.
Singular value decomposition and least squares solutions
Gene H Golub and Christian Reinsch · 1971
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Principal component analysis based on l1-norm maximization
Nojun Kwak · 2008
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Character recognition in natural images
Teófilo Emídio De Campos, Bodla Rakesh Babu, and Manik Varma · 2009
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Sharpness estimation for document and scene images
Jayant Kumar, Francine Chen, and David Doermann · 2012
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao · 2015
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Improved generator objectives for gans
Ben Poole, Alexander A Alemi, Jascha Sohl-Dickstein, and Anelia Angelova · 2016
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Improved techniques for training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Improved training of Wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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beta-VAE: Learning basic visual concepts with a constrained variational framework
Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2017
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Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, and Andrea Vedaldi · 2017
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Stabilizing adversarial nets with prediction methods
Abhay Yadav, Sohil Shah, Zheng Xu, David Jacobs, and Tom Goldstein · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Optimizing the latent space of generative networks
Piotr Bojanowski, Armand Joulin, David Lopez-Paz, and Arthur Szlam · 2018
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Faceqnet: quality assessment for face recognition based on deep learning
Javier Hernandez-Ortega, Javier Galbally, Julian Fierrez, Rudolf Haraksim, and Laurent Beslay · 2019
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Image generation from small datasets via batch statistics adaptation
Atsuhiro Noguchi and Tatsuya Harada · 2019
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Generating diverse high-fidelity images with vq-vae2
Ali Razavi, Aaron van den Oord, and Oriol Vinyals · 2019
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A mathematical theory of semantic development in deep neural networks
Andrew M Saxe, James L McClelland, and Surya Ganguli · 2019
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SinGAN: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
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InGAN: Capturing and retargeting the “dna” of a natural image
Assaf Shocher, Shai Bagon, Phillip Isola, and Michal Irani · 2019
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Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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Diverse image-to-image translation via disentangled representations
Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, and Ming-Hsuan Yang · 2018
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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The singular values of convolutional layers
Hanie Sedghi, Vineet Gupta, and Philip M Long · 2018
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Transferring GANs: generating images from limited data
Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, and Bogdan Raducanu · 2018
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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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TransFlow Learning: Repurposing flow models without retraining
Andrew Gambardella, Atılım Günes Baydin, and Philip H. S. Torr · 2019
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Effective data augmentation with multi-domain learning GANs
Shin’ya Yamaguchi, Sekitoshi Kanai, and Takeharu Eda · 2019
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Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2019
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GANSpace: Discovering interpretable gan controls
Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, and Sylvain Paris · 2020
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Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Entanglement and tensor networks for supervised image classification
John Martyn, Guifre Vidal, Chase Roberts, and Stefan Leichenauer · 2020
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Freeze Discriminator: A simple baseline for fine-tuning GANs
Sangwoo Mo, Minsu Cho, and Jinwoo Shin · 2020
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