@article{olah2017feature,
  author = {Olah, Chris and Mordvintsev, Alexander and Schubert, Ludwig},
  title = {Feature Visualization},
  journal = {Distill},
  year = {2017},
  url = {https://distill.pub/2017/feature-visualization},
  doi = {10.23915/distill.00007}
}

@article{gatys2015,
  author    = {Leon A. Gatys and
               Alexander S. Ecker and
               Matthias Bethge},
  title     = {A Neural Algorithm of Artistic Style},
  journal   = {CoRR},
  volume    = {abs/1508.06576},
  year      = {2015},
  url       = {http://arxiv.org/abs/1508.06576},
  archivePrefix = {arXiv},
  eprint    = {1508.06576},
  timestamp = {Wed, 07 Jun 2017 14:41:58 +0200},
  biburl    = {http://dblp.org/rec/bib/journals/corr/GatysEB15a},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{li2017,
  author    = {Yanghao Li and
               Naiyan Wang and
               Jiaying Liu and
               Xiaodi Hou},
  title     = {Demystifying Neural Style Transfer},
  journal   = {CoRR},
  volume    = {abs/1701.01036},
  year      = {2017},
  url       = {http://arxiv.org/abs/1701.01036},
  archivePrefix = {arXiv},
  eprint    = {1701.01036},
  timestamp = {Wed, 07 Jun 2017 14:42:49 +0200},
  biburl    = {http://dblp.org/rec/bib/journals/corr/LiWLH17},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{wilmot2017,
  author    = {Pierre Wilmot and
               Eric Risser and
               Connelly Barnes},
  title     = {Stable and Controllable Neural Texture Synthesis and Style Transfer
               Using Histogram Losses},
  journal   = {CoRR},
  volume    = {abs/1701.08893},
  year      = {2017},
  url       = {http://arxiv.org/abs/1701.08893},
  archivePrefix = {arXiv},
  eprint    = {1701.08893},
  timestamp = {Wed, 07 Jun 2017 14:42:55 +0200},
  biburl    = {http://dblp.org/rec/bib/journals/corr/WilmotRB17},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{li2016,
  author    = {Chuan Li and
               Michael Wand},
  title     = {Combining Markov Random Fields and Convolutional Neural Networks for
               Image Synthesis},
  journal   = {CoRR},
  volume    = {abs/1601.04589},
  year      = {2016},
  url       = {http://arxiv.org/abs/1601.04589},
  archivePrefix = {arXiv},
  eprint    = {1601.04589},
  timestamp = {Wed, 07 Jun 2017 14:40:20 +0200},
  biburl    = {http://dblp.org/rec/bib/journals/corr/LiW16},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{athalye2017,
  author    = {Anish Athalye and
               Logan Engstrom and
               Andrew Ilyas and
               Kevin Kwok},
  title     = {Synthesizing Robust Adversarial Examples},
  journal   = {CoRR},
  volume    = {abs/1707.07397},
  year      = {2017},
  url       = {http://arxiv.org/abs/1707.07397},
  archivePrefix = {arXiv},
  eprint    = {1707.07397},
  timestamp = {Tue, 31 Oct 2017 11:47:03 +0100},
  biburl    = {http://dblp.org/rec/bib/journals/corr/AthalyeS17},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{ruder2016,
  author    = {Manuel Ruder and
               Alexey Dosovitskiy and
               Thomas Brox},
  title     = {Artistic style transfer for videos},
  journal   = {CoRR},
  volume    = {abs/1604.08610},
  year      = {2016},
  url       = {http://arxiv.org/abs/1604.08610},
  archivePrefix = {arXiv},
  eprint    = {1604.08610},
  timestamp = {Wed, 07 Jun 2017 14:43:14 +0200},
  biburl    = {http://dblp.org/rec/bib/journals/corr/RuderDB16},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@inproceedings{krizhevsky2012,
  author = {Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E.},
  title = {ImageNet Classification with Deep Convolutional Neural Networks},
  booktitle = {Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1},
  series = {NIPS'12},
  year = {2012},
  pages = {1097--1105},
  url = {http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf},
}

@InProceedings{zeiler2014,
  author="Zeiler, Matthew D.
  and Fergus, Rob",
  editor="Fleet, David
  and Pajdla, Tomas
  and Schiele, Bernt
  and Tuytelaars, Tinne",
  title="Visualizing and Understanding Convolutional Networks",
  booktitle="Computer Vision -- ECCV 2014",
  year="2014",
  publisher="Springer International Publishing",
  address="Cham",
  pages="818--833",
  isbn="978-3-319-10590-1",
  url="https://arxiv.org/abs/1311.2901"
}

@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},
  number={14},
  pages={5},
  year={2015},
  url={https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html}
}

@incollection{goodfellow2014:adversarial,
  title = {Generative Adversarial Nets},
  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},
  booktitle = {Advances in Neural Information Processing Systems 27},
  editor = {Z. Ghahramani and M. Welling and C. Cortes and N. D. Lawrence and K. Q. Weinberger},
  pages = {2672--2680},
  year = {2014},
  publisher = {Curran Associates, Inc.},
  url = {http://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf}
}

@article{Diederik2013:VAE,
  author    = {Diederik P. Kingma and
               Max Welling},
  title     = {Auto-Encoding Variational Bayes},
  journal   = {CoRR},
  volume    = {abs/1312.6114},
  year      = {2013},
  url       = {http://arxiv.org/abs/1312.6114},
  archivePrefix = {arXiv},
  eprint    = {1312.6114},
  timestamp = {Wed, 07 Jun 2017 14:40:08 +0200},
  biburl    = {http://dblp.org/rec/bib/journals/corr/KingmaW13},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{stanley2007cppn,
  title={Compositional pattern producing networks: A novel abstraction of development},
  author={Stanley, Kenneth O},
  journal={Genetic programming and evolvable machines},
  volume={8},
  number={2},
  pages={131--162},
  year={2007},
  publisher={Springer},
  url={http://eplex.cs.ucf.edu/papers/stanley_gpem07.pdf}
}

@misc{CPPN:random,
  author = {Otoro.net},
  title = {Neural Network Generative Art in Javascript},
  url = {http://blog.otoro.net/2015/06/19/neural-network-generative-art/},
  year = {2015},
  note = "[Online; accessed 26-February-2018]"
}

@inproceedings{Nguyen2015:easilyFooled,
  author    = {Anh Mai Nguyen and
               Jason Yosinski and
               Jeff Clune},
  title     = {Deep neural networks are easily fooled: High confidence predictions
               for unrecognizable images},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR
               2015, Boston, MA, USA, June 7-12, 2015},
  pages     = {427--436},
  year      = {2015},
  url       = {https://arxiv.org/abs/1412.1897}
}

@article{kato2017neural3D,
  title={Neural 3D Mesh Renderer},
  author={Kato, Hiroharu and Ushiku, Yoshitaka and Harada, Tatsuya},
  journal={arXiv preprint arXiv:1711.07566},
  year={2017},
  url={https://arxiv.org/abs/1711.07566}
}

@inproceedings{wu20153d,
  title={3d shapenets: A deep representation for volumetric shapes},
  author={Wu, Zhirong and Song, Shuran and Khosla, Aditya and Yu, Fisher and Zhang, Linguang and Tang, Xiaoou and Xiao, Jianxiong},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1912--1920},
  year={2015},
  url={https://people.csail.mit.edu/khosla/papers/cvpr2015_wu.pdf}
}

@inproceedings{qi2016volumetric,
  title={Volumetric and Multi-View CNNs for Object Classification on 3D Data},
  author={Qi, Charles R and Su, Hao and Nie{\ss}ner, Matthias and Dai, Angela and Yan, Mengyuan and Guibas, Leonidas J},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={5648--5656},
  year={2016},
  url={https://arxiv.org/abs/1604.03265}
}

@misc{turk2005stanfordBunny,
  title={The Stanford Bunny},
  author={Turk, Greg and Levoy, Marc},
  year={2005},
  publisher={Stanford University Computer Graphics Laboratory},
  url= {http://graphics. stanford. edu/data/3Dscanrep}
}

@book{Shreiner2013OpenGL,
 author = {Shreiner, Dave and Sellers, Graham and Kessenich, John M. and Licea-Kane, Bill M.},
 title = {OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 4.3},
 year = {2013},
 isbn = {0321773039, 9780321773036},
 edition = {8th},
 publisher = {Addison-Wesley Professional},
}

@article{wierstra2014naturalEvolutionStrategies,
  title={Natural evolution strategies.},
  author={Wierstra, Daan and Schaul, Tom and Glasmachers, Tobias and Sun, Yi and Peters, Jan and Schmidhuber, J{\"u}rgen},
  journal={Journal of Machine Learning Research},
  volume={15},
  number={1},
  pages={949--980},
  year={2014},
  url={http://www.jmlr.org/papers/volume15/wierstra14a/wierstra14a.pdf}
}

@inproceedings{szegedy2015googlenet,
title = {Going Deeper with Convolutions},
author  = {Christian Szegedy and Wei Liu and Yangqing Jia and Pierre Sermanet and Scott Reed and Dragomir Anguelov and Dumitru Erhan and Vincent Vanhoucke and Andrew Rabinovich},
year  = {2015},
URL = {http://arxiv.org/abs/1409.4842},
booktitle = {Computer Vision and Pattern Recognition (CVPR)}
}

@article{lecun2015deepLearning,
  title={Deep learning},
  author={LeCun, Yann and Bengio, Yoshua and Hinton, Geoffrey},
  journal={Nature},
  volume={521},
  number={7553},
  pages={436},
  year={2015},
  publisher={Nature Publishing Group},
  url = {http://pages.cs.wisc.edu/~dyer/cs540/handouts/deep-learning-nature2015.pdf}
}

@article{Goodfellow2016deepLearning,
    title={Deep Learning},
    author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
    publisher={MIT Press},
    url={http://www.deeplearningbook.org},
    year={2016}
}

@article{simonyan2014vgg,
  title={Very deep convolutional networks for large-scale image recognition},
  author={Simonyan, Karen and Zisserman, Andrew},
  journal={arXiv preprint arXiv:1409.1556},
  year={2014},
  url={https://arxiv.org/abs/1409.1556}
}

@inproceedings{li2017universal,
  title={Universal style transfer via feature transforms},
  author={Li, Yijun and Fang, Chen and Yang, Jimei and Wang, Zhaowen and Lu, Xin and Yang, Ming-Hsuan},
  booktitle={Advances in Neural Information Processing Systems},
  pages={385--395},
  year={2017},
  url={https://arxiv.org/abs/1705.08086}
}

@inproceedings{levy2002least,
  title={Least squares conformal maps for automatic texture atlas generation},
  author={L{\'e}vy, Bruno and Petitjean, Sylvain and Ray, Nicolas and Maillot, J{\'e}rome},
  booktitle={ACM transactions on graphics (TOG)},
  pages={362--371},
  year={2002},
  url={http://alice.loria.fr/index.php/software/7-data/37-unwrapped-meshes.html}
}

@article{athalye2017synthesizing,
  title={Synthesizing robust adversarial examples},
  author={Athalye, Anish and Engstrom, Logan and Ilyas, Andrew and Kwok, Kevin},
  journal={arXiv preprint arXiv:1707.07397},
  year={2017},
  url={https://arxiv.org/pdf/1707.07397.pdf}
}

@article{gershenfeld2012make,
  title={How to make almost anything: The digital fabrication revolution},
  author={Gershenfeld, Neil},
  journal={Foreign affairs},
  pages={43--57},
  year={2012},
  url={https://www.vteducation.org/sites/default/files/file_attach/Christophe%20Reverd/2014/05/12.09.fa_.pdf}
}

@article{odena2016deconvolution,
  title={Deconvolution and checkerboard artifacts},
  author={Odena, Augustus and Dumoulin, Vincent and Olah, Chris},
  journal={Distill},
  volume={1},
  number={10},
  pages={e3},
  year={2016},
  doi={distill.00003},
  url={http://distill.pub/2016/deconv-checkerboard/}
}

@article{kodama1981automatic,
  title={Automatic method for fabricating a three-dimensional plastic model with photo-hardening polymer},
  author={Kodama, Hideo},
  journal={Review of scientific instruments},
  volume={52},
  number={11},
  pages={1770--1773},
  year={1981},
  publisher={AIP},
  doi={10.1063/1.1136492}
}

@article{jones2011reprap,
  title={RepRap--the replicating rapid prototyper},
  author={Jones, Rhys and Haufe, Patrick and Sells, Edward and Iravani, Pejman and Olliver, Vik and Palmer, Chris and Bowyer, Adrian},
  journal={Robotica},
  volume={29},
  number={1},
  pages={177--191},
  year={2011},
  publisher={Cambridge University Press},
  doi={10.1017/S026357471000069X}
}

@article{salimans2017evolution,
  title={Evolution strategies as a scalable alternative to reinforcement learning},
  author={Salimans, Tim and Ho, Jonathan and Chen, Xi and Sutskever, Ilya},
  journal={arXiv preprint arXiv:1703.03864},
  year={2017}
}