references.bib

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@Article{attgan,
  author  = {He, Zhenliang and Zuo, Wangmeng and Kan, Meina and Shan, Shiguang and Chen, Xilin},
  title   = {Arbitrary Facial Attribute Editing: Only Change What You Want},
  journal = {arXiv preprint arXiv:1711.10678},
  year    = {2017},
}

@InProceedings{pix2pix,
  author    = {Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A.},
  title     = {Image-To-Image Translation With Conditional Adversarial Networks},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2017},
}

@InProceedings{celeba,
  author    = {Ziwei Liu and Ping Luo and Xiaogang Wang and Xiaoou Tang},
  title     = {Deep Learning Face Attributes in the Wild},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  year      = {2015},
}

@Article{dropout,
  author  = {Hinton, Geoffrey E and Srivastava, Nitish and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan R},
  title   = {Improving neural networks by preventing co-adaptation of feature detectors},
  journal = {arXiv preprint arXiv:1207.0580},
  year    = {2012},
}

@InCollection{infogan,
  author    = {Chen, Xi and Duan, Yan and Houthooft, Rein and Schulman, John and Sutskever, Ilya and Abbeel, Pieter},
  title     = {InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets},
  booktitle = {Advances in Neural Information Processing Systems 29},
  publisher = {Curran Associates, Inc.},
  year      = {2016},
}

@Article{stackgan,
  author  = {H. Zhang and T. Xu and H. Li and S. Zhang and X. Wang and X. Huang and D. N. Metaxas},
  title   = {StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year    = {2018},
}

@InProceedings{adam,
  author    = {Diederik P. Kingma and Jimmy Ba},
  title     = {Adam: {A} Method for Stochastic Optimization},
  booktitle = {International Conference on Learning Representations},
  year      = {2015},
}

@InProceedings{dcgan,
  author    = {Radford, Alec and Metz, Luke and Chintala, Soumith},
  title     = {Unsupervised representation learning with deep convolutional generative adversarial networks},
  booktitle = {International Conference on Learning Representations},
  year      = {2016},
}

@InProceedings{text2img,
  author    = {Scott Reed and Zeynep Akata and Xinchen Yan and Lajanugen Logeswaran and Bernt Schiele and Honglak Lee},
  title     = {Generative Adversarial Text-to-Image Synthesis},
  booktitle = {International Conference on Machine Learning},
  year      = {2016},
}

@InProceedings{instance,
  author    = {Ulyanov, Dmitry and Vedaldi, Andrea and Lempitsky, Victor},
  title     = {Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2017},
}

@InProceedings{stargan,
  author    = {Choi, Yunjey and Choi, Minje and Kim, Munyoung and Ha, Jung-Woo and Kim, Sunghun and Choo, Jaegul},
  title     = {StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2018},
}

@InCollection{gan,
  author    = {Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
  title     = {Generative Adversarial Nets},
  booktitle = {Advances in Neural Information Processing Systems 27},
  publisher = {Curran Associates, Inc.},
  year      = {2014},
}

@Article{cgan,
  author  = {Mirza, Mehdi and Osindero, Simon},
  title   = {Conditional generative adversarial nets},
  journal = {arXiv preprint arXiv:1411.1784},
  year    = {2014},
}

@InProceedings{pggan,
  author    = {Tero Karras and Timo Aila and Samuli Laine and Jaakko Lehtinen},
  title     = {Progressive Growing of {GAN}s for Improved Quality, Stability, and Variation},
  booktitle = {International Conference on Learning Representations},
  year      = {2018},
}

@Article{began,
  author  = {Berthelot, David and Schumm, Thomas and Metz, Luke},
  title   = {BEGAN: boundary equilibrium generative adversarial networks},
  journal = {arXiv preprint arXiv:1703.10717},
  year    = {2017},
}

@InProceedings{pix2pixhd,
  author    = {Ting-Chun Wang and Ming-Yu Liu and Jun-Yan Zhu and Andrew Tao and Jan Kautz and Bryan Catanzaro},
  title     = {High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2018},
}

@InProceedings{cyclegan,
  author    = {Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A.},
  title     = {Unpaired Image-To-Image Translation Using Cycle-Consistent Adversarial Networks},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  year      = {2017},
}

@InProceedings{tpgan,
  author    = {Huang, Rui and Zhang, Shu and Li, Tianyu and He, Ran},
  title     = {Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  year      = {2017},
}

@InProceedings{vae,
  author    = {{Kingma}, Diederik P and {Welling}, Max},
  title     = {{Auto-Encoding Variational Bayes}},
  booktitle = {International Conference on Learning Representations},
  year      = {2014},
}

@InProceedings{leaky,
  author    = {Maas, Andrew L and Hannun, Awni Y and Ng, Andrew Y},
  title     = {Rectifier nonlinearities improve neural network acoustic models},
  booktitle = {ICML Workshop on Deep Learning for Audio, Speech and Language Processing},
  year      = {2013},
}

@InCollection{NIPS2016_6125,
  author    = {Salimans, Tim and Goodfellow, Ian and Zaremba, Wojciech and Cheung, Vicki and Radford, Alec and Chen, Xi and Chen, Xi},
  title     = {Improved Techniques for Training GANs},
  booktitle = {Advances in Neural Information Processing Systems 29},
  publisher = {Curran Associates, Inc.},
  year      = {2016},
}

@InCollection{wgan-gp,
  author    = {Gulrajani, Ishaan and Ahmed, Faruk and Arjovsky, Martin and Dumoulin, Vincent and Courville, Aaron C},
  title     = {Improved Training of Wasserstein GANs},
  booktitle = {Advances in Neural Information Processing Systems 30},
  publisher = {Curran Associates, Inc.},
  year      = {2017},
}

@InCollection{fid,
  author    = {Heusel, Martin and Ramsauer, Hubert and Unterthiner, Thomas and Nessler, Bernhard and Hochreiter, Sepp},
  title     = {GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium},
  booktitle = {Advances in Neural Information Processing Systems 30},
  publisher = {Curran Associates, Inc.},
  year      = {2017},
}

@InCollection{gan-compare,
  author    = {Lucic, Mario and Kurach, Karol and Michalski, Marcin and Gelly, Sylvain and Bousquet, Olivier},
  title     = {Are GANs Created Equal? A Large-Scale Study},
  booktitle = {Advances in Neural Information Processing Systems 31},
  publisher = {Curran Associates, Inc.},
  year      = {2018},
}

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