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bibliography.bib
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@article{dong2014image,
title={Image super-resolution using deep convolutional networks},
author={Dong, Chao and Loy, Chen Change and He, Kaiming and Tang, Xiaoou},
journal={arXiv preprint arXiv:1501.00092},
year={2014},
url={https://arxiv.org/pdf/1501.00092.pdf}
}
@article{dumoulin2016adversarially,
title={Adversarially Learned Inference},
author={Dumoulin, Vincent and Belghazi, Ishmael and Poole, Ben and Lamb, Alex and Arjovsky, Martin and Mastropietro, Olivier and Courville, Aaron},
journal={arXiv preprint arXiv:1606.00704},
year={2016},
url={https://arxiv.org/pdf/1606.00704.pdf}
}
@article{dumoulin2016guide,
title={A guide to convolution arithmetic for deep learning},
author={Dumoulin, Vincent and Visin, Francesco},
journal={arXiv preprint arXiv:1603.07285},
year={2016},
url={https://arxiv.org/pdf/1603.07285.pdf}
}
@article{donahue2016adversarial,
title={Adversarial Feature Learning},
author={Donahue, Jeff and Kr{\"a}henb{\"u}hl, Philipp and Darrell, Trevor},
journal={arXiv preprint arXiv:1605.09782},
year={2016},
url={https://arxiv.org/pdf/1605.09782.pdf}
}
@article{gauthier2014conditional,
title={Conditional generative adversarial nets for convolutional face generation},
author={Gauthier, Jon},
journal={Class Project for Stanford CS231N: Convolutional Neural Networks for Visual Recognition, Winter semester},
volume={2014},
year={2014},
url={http://www.foldl.me/uploads/papers/tr-cgans.pdf}
}
@article{henaff2015geodesics,
title={Geodesics of learned representations},
author={H{\'e}naff, Olivier J and Simoncelli, Eero P},
journal={arXiv preprint arXiv:1511.06394},
year={2015},
url={https://arxiv.org/pdf/1511.06394.pdf}
}
@article{johnson2016perceptual,
title={Perceptual losses for real-time style transfer and super-resolution},
author={Johnson, Justin and Alahi, Alexandre and Fei-Fei, Li},
journal={arXiv preprint arXiv:1603.08155},
year={2016},
url={https://arxiv.org/pdf/1603.08155.pdf}
}
@article{mordvintsev2015inceptionism,
title={Inceptionism: Going deeper into neural networks},
author={Mordvintsev, Alexander and Olah, Christopher and Tyka, Mike},
journal={Google Research Blog. Retrieved June},
volume={20},
year={2015},
url={https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html}
}
@misc{mordvintsev2016deepdreaming,
title={DeepDreaming with TensorFlow},
author={Mordvintsev, Alexander},
year={2016},
url={https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/deepdream/deepdream.ipynb},
}
@article{radford2015unsupervised,
title={Unsupervised representation learning with deep convolutional generative adversarial networks},
author={Radford, Alec and Metz, Luke and Chintala, Soumith},
journal={arXiv preprint arXiv:1511.06434},
year={2015},
url={https://arxiv.org/pdf/1511.06434.pdf}
}
@inproceedings{salimans2016improved,
title={Improved techniques for training gans},
author={Salimans, Tim and Goodfellow, Ian and Zaremba, Wojciech and Cheung, Vicki and Radford, Alec and Chen, Xi},
booktitle={Advances in Neural Information Processing Systems},
pages={2226--2234},
year={2016},
url={https://arxiv.org/pdf/1606.03498.pdf}
}
@article{shi2016deconvolution,
title={Is the deconvolution layer the same as a convolutional layer?},
author={Shi, Wenzhe and Caballero, Jose and Theis, Lucas and Huszar, Ferenc and Aitken, Andrew and Ledig, Christian and Wang, Zehan},
journal={arXiv preprint arXiv:1609.07009},
year={2016},
url={https://arxiv.org/pdf/1609.07009.pdf}
}
@inproceedings{shi2016real,
title={Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network},
author={Shi, Wenzhe and Caballero, Jose and Husz{\'a}r, Ferenc and Totz, Johannes and Aitken, Andrew P and Bishop, Rob and Rueckert, Daniel and Wang, Zehan},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={1874--1883},
year={2016},
url={https://arxiv.org/pdf/1609.05158.pdf},
doi={10.1109/cvpr.2016.207}
}