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The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling.
Detecting and simulating artifacts in GAN fake images
Xu Zhang, Svebor Karaman, and Shih-Fu Chang · 1912
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Pyramidal parametrics
Lance Williams · 1983
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The importance of shape in early lexical learning
Barbara Landau, Linda B. Smith, and Susan S. Jones · 1988
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Pattern Recognition and Machine Learning
Christopher M. Bishop · 2006
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
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ImageNet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
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Matrix Computations
G.H. Golub and C.F. Van Loan · 2013
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Equilibrated adaptive learning rates for non-convex optimization
Yann N. Dauphin, Harm de Vries, and Yoshua Bengio · 2015
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Deep generative image models using a Laplacian pyramid of adversarial networks
Emily L. Denton, Soumith Chintala, Arthur Szlam, and Robert Fergus · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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U-Net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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ImageNet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, and Fei-Fei Li · 2015
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LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, and Jianxiong Xiao · 2015
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A learned representation for artistic style
Vincent Dumoulin, Jonathon Shlens, and Manjunath Kudlur · 2016
Cited alongside, same era.
Weight normalization: A simple reparameterization to accelerate training of deep neural networks
Tim Salimans and Diederik P. Kingma · 2016
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Exploring the structure of a real-time, arbitrary neural artistic stylization network
Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, and Jonathon Shlens · 2017
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Improved training of Wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, and Aaron C. Courville · 2017
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GANs trained by a two time-scale update rule converge to a local Nash equilibrium
Is generator conditioning causally related to GAN performance?
Augustus Odena, Jacob Buckman, Catherine Olsson, Tom B. Brown, Christopher Olah, Colin Raffel, and Ian Goodfellow · 2018
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Assessing generative models via precision and recall
Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, and Sylvain Gelly · 2018
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Attributing fake images to GANs: Analyzing fingerprints in generated images
Ning Yu, Larry Davis, and Mario Fritz · 2018
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Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
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Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Cited alongside, same era.
Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge J. Belongie · 2017
Cited alongside, same era.
Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
Cited alongside, same era.
On the effects of batch and weight normalization in generative adversarial networks
Sitao Xiang and Hao Li · 2017
Cited alongside, same era.
StackGAN: text to photo-realistic image synthesis with stacked generative adversarial networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaolei Huang, Xiaogang Wang, and Dimitris N. Metaxas · 2017
Cited alongside, same era.
StackGAN++: realistic image synthesis with stacked generative adversarial networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N. Metaxas · 2017
Cited alongside, same era.
Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
Cited alongside, same era.
Feature-wise transformations
Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville, and Yoshua Bengio · 2018
Cited alongside, same era.
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
Later among the works it cites.
Image2StyleGAN: How to embed images into the StyleGAN latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
Closest in time.
Source generator attribution via inversion
Michael Albright and Scott McCloskey · 2019
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Which face is real?
Carl Bergstrom and Jevin West · 2019
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Style generator inversion for image enhancement and animation
Aviv Gabbay and Yedid Hoshen · 2019
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Improved precision and recall metric for assessing generative models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, and Timo Aila · 2019
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StyleGAN – Encoder for official TensorFlow implementation
Dmitry Nikitko · 2019
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Interpreting the latent space of GANs for semantic face editing
Yujun Shen, Jinjin Gu, Xiaoou Tang, and Bolei Zhou · 2019
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FakeSpotter: A simple baseline for spotting AI-synthesized fake faces
Run Wang, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Jian Wang, and Yang Liu · 2019
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CNN-generated images are surprisingly easy to spot… for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A. Efros · 2019
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Making convolutional networks shift-invariant again
Richard Zhang · 2019
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Power measurement tutorial for the Green500 list
R. Ge, X. Feng, H. Pyla, K. Cameron, and W. Feng · 2020
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MSG-GAN: multi-scale gradients for generative adversarial networks
Animesh Karnewar and Oliver Wang · 2020
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