20160601.md

• DeepArt

  • http://blog.deepart.io/

  • https://www.zhihu.com/question/35216546

  • http://gitxiv.com/posts/jG46ukGod8R7Rdtud/a-neural-algorithm-of-artistic-style

  • http://www.makeuseof.com/tag/create-neural-paintings-deepstyle-ubuntu/

  • http://phunter.farbox.com/post/mxnet-tutorial2

  • http://computationalimagination.com/interview_deepart.php

  • https://github.com/jcjohnson/neural-style

  • https://zhuanlan.zhihu.com/p/21398579

  • http://chuansong.me/n/365273951122

  • https://medium.com/@genekogan/machine-learning-for-artists-e93d20fdb097

  • https://medium.com/dbrs-innovation-labs/machine-learning-for-artists-7a3689a34e9

  • http://www.deepstylegenerator.com/

  • https://dreamscopeapp.com/

  • http://deepdreamgenerator.com/

  • https://github.com/google/deepdream

  • http://www.cs.toronto.edu/~guerzhoy/321/tf_deepdream/

  • https://www.tastehit.com/blog/neural-networks-with-artistic-talent/

  • http://bethgelab.org/deeptextures/

  • https://arxiv.org/abs/1505.07376

  • http://arxiv.org/abs/1508.06576

  • https://arxiv.org/abs/1606.00021

  • http://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Gatys_Image_Style_Transfer_CVPR_2016_paper.html

  • http://arxiv.org/abs/1606.05897

  • http://ktsiegel.com/6869.pdf

  • http://www.recode.net/2016/7/21/12243560/google-machine-learning-comics-play

  • https://www.instapainting.com/ai-painter

  • http://www.thepaintingfool.com/papers/index.html

  • http://newatlas.com/creative-ai-algorithmic-art-painting-fool-aaron/36106/

  • http://www.netimperative.com/2016/04/microsoft-ai-creates-new-rembrandt-painting/

  • https://www.nextrembrandt.com/

  • https://news.artnet.com/market/google-inceptionism-art-sells-big-439352

  • http://arxiv.org/abs/1605.01141

  • http://www.anishathalye.com/2015/12/19/an-ai-that-can-mimic-any-artist/

  • https://github.com/anishathalye/neural-style

  • https://github.com/woodrush/neural-art-tf

  • https://github.com/simulacre7/tensorflow-IPythonNotebook/blob/master/neural-style/neural_style.ipynb

  • https://github.com/andersbll/neural_artistic_style

  • https://blog.jetbrains.com/pycharm/2015/08/googles-deep-dream-in-pycharm/

  • http://www.makeuseof.com/tag/create-neural-paintings-deepstyle-ubuntu/

  • https://www.quora.com/What-is-the-technology-behind-Prisma

  • https://zhuanlan.zhihu.com/p/21821372

  • https://nucl.ai/blog/neural-doodles/

  • https://nucl.ai/blog/extreme-style-machines/

  • http://dmitryulyanov.github.io/feed-forward-neural-doodle/

  • http://arxiv.org/abs/1603.01768

  • http://likemo.net/#sketch__canvas

  • http://arxiv.org/abs/1603.03417

  • http://arxiv.org/abs/1607.08022

  • http://jmlr.org/proceedings/papers/v48/ulyanov16-supp.pdf

  • https://github.com/DmitryUlyanov/texture_nets

  • https://github.com/DmitryUlyanov/online-neural-doodle

  • https://github.com/DmitryUlyanov/fast-neural-doodle

  • https://arxiv.org/pdf/1701.02096v1.pdf

    • http://www.creativeai.net/posts/sktYz7MkFci4C2y9e/improved-texture-networks-maximizing-quality-and-diversity

  • https://github.com/ProofByConstruction/texture-networks

  • https://arxiv.org/abs/1611.05507

  • https://github.com/dsanno/chainer-dfi

  • https://arxiv.org/abs/1603.08155

  • http://cs.stanford.edu/people/jcjohns/papers/fast-style/fast-style-supp.pdf

  • http://olavnymoen.com/2016/07/07/image-transformation-network

  • https://github.com/yusuketomoto/chainer-fast-neuralstyle

  • https://github.com/awentzonline/keras-rtst

  • https://arxiv.org/abs/1601.04589

    • https://github.com/chuanli11/CNNMRF
    • http://blog.csdn.net/liuheng0111/article/details/52348994
    • https://wenku.baidu.com/view/e497ae81d4d8d15abe234e93.html

  • https://github.com/awentzonline/image-analogies

  • http://arxiv.org/abs/1604.04382

  • http://cs231n.stanford.edu/reports2016/201_Report.pdf

  • http://authenticationinart.org/pdf/literature/Elgammal-A.-and-Saleh-B.-Quantifying-Creativity-in-Art-Networks-in-arXiv-2-June-2015.pdf

  • https://vimeo.com/175540110

  • https://arxiv.org/abs/1604.08610

  • https://github.com/manuelruder/artistic-videos

  • https://arxiv.org/abs/1605.08153

  • https://github.com/aleju/papers/tree/master/neural-nets

  • http://mashable.com/2016/07/10/prisma-app-photo-art/

  • https://people.eecs.berkeley.edu/~junyanz/projects/gvm/

  • https://github.com/junyanz/iGAN

  • https://arxiv.org/abs/1609.03552

  • https://zhuanlan.zhihu.com/p/21821372

  • https://research.googleblog.com/2016/10/supercharging-style-transfer.html

  • https://arxiv.org/abs/1610.07629

  • https://github.com/lengstrom/fast-style-transfer/

  • https://magenta.tensorflow.org/2016/11/01/multistyle-pastiche-generator/

  • https://arxiv.org/abs/1701.04928

  • https://github.com/fzliu/style-transfer

  • https://arxiv.org/abs/1701.01036

  • https://github.com/harry19902002/image-style-transfor

  • https://codesachin.wordpress.com/2017/02/03/how-neural-networks-generate-visual-art-from-inspiration/

  • https://nucl.ai/blog/forgeries-user-guide/

  • http://www.creativeai.net/posts/XBjgPDuH9K8Zq6gpi/paintschainer-a-neural-network-that-automatically-colors-in

    • http://paintschainer.preferred.tech/
    • http://github.com/taizan/PaintsChainer

  • https://phillipi.github.io/pix2pix/

    • https://arxiv.org/abs/1611.07004
    • https://github.com/phillipi/pix2pix
    • https://affinelayer.com/pixsrv/
      • https://github.com/affinelayer/pix2pix-tensorflow

  • http://docs.floydhub.com/guides/style_transfer/

  • http://richzhang.github.io/colorization/

    • https://arxiv.org/abs/1603.08511
    • https://github.com/richzhang/colorization
    • http://demos.algorithmia.com/colorize-photos/

  • https://github.com/luanfujun/deep-photo-styletransfer

    • https://arxiv.org/abs/1703.07511

  • https://junyanz.github.io/CycleGAN/

    • https://github.com/junyanz/CycleGAN
    • https://www.engadget.com/2017/04/03/reverse-prisma-ai-turns-monet-paintings-into-photos/

  • https://kaonashi-tyc.github.io/2017/04/06/zi2zi.html

    • https://github.com/kaonashi-tyc/zi2zi
    • https://github.com/kaonashi-tyc/Rewrite
      • https://erikbern.com/2016/01/21/analyzing-50k-fonts-using-deep-neural-networks/
      • https://arxiv.org/abs/1603.04000

  • http://blog.csdn.net/stdcoutzyx/article/details/70148902

  • https://arxiv.org/abs/1705.02999

  • https://arxiv.org/abs/1705.04058

    • https://github.com/ycjing/Neural-Style-Transfer-Papers
    • http://chuansong.me/n/1835359042229

• DeepMusic

  • http://deepjazz.io/
  • http://magenta.tensorflow.org/welcome-to-magenta
  • http://www.cnblogs.com/charlotte77/p/5664523.html
  • https://magenta.tensorflow.org/2016/07/15/lookback-rnn-attention-rnn
  • http://yoavz.com/music_rnn/
  • http://yoavz.com/music_rnn_paper.pdf
  • https://github.com/yoavz/music_rnn
  • https://arxiv.org/abs/1606.04930
  • http://www.flow-machines.com/outputs/publications/
  • http://m.weibo.cn/5501429448/4025346112151314
  • https://github.com/llSourcell/Music_Generator_Demo
  • http://www.hexahedria.com/2015/08/03/composing-music-with-recurrent-neural-networks/
  • https://github.com/tensorflow/magenta/tree/master/magenta/demos/NIPS_2016
  • https://github.com/robbiebarrat/rapping-neural-network

• DeepWriting

  • http://arstechnica.com/the-multiverse/2016/06/an-ai-wrote-this-movie-and-its-strangely-moving/
  • http://benjamin.wtf/
  • http://www.digitaltrends.com/cool-tech/harry-potter-ai-story/
  • https://medium.com/deep-writing/harry-potter-written-by-artificial-intelligence-8a9431803da6
  • http://wallstreetcn.com/node/235936
  • https://www.buzzfeed.com/alexkantrowitz/googles-artificial-intelligence-engine-reads-romance-novels
  • http://www.degeneratestate.org/posts/2016/Apr/20/heavy-metal-and-natural-language-processing-part-1/
  • https://colinmorris.github.io/blog/dreaming-rbms
  • https://github.com/kootenpv/neural_complete
  • https://arxiv.org/abs/1606.08866
  • https://arxiv.org/abs/1611.01989
    • http://chuansong.me/n/1602397642148
  • https://arxiv.org/abs/1704.04327
    • http://chuansong.me/n/1766637742439

• DeepMisc

  • http://fusion.net/story/235986/music-video-neural-networks/
  • https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471
  • https://arxiv.org/abs/1611.09577
  • https://github.com/david-gpu/deep-makeover
  • https://zhuanlan.zhihu.com/p/25248698
    • http://xolmon.hatenablog.com/
  • https://openreview.net/forum?id=BkjLkSqxg&noteId=BkjLkSqxg
  • https://arxiv.org/abs/1611.05358
  • https://github.com/sujithv28/Deep-Leafsnap
    • http://neerajkumar.org/base/papers/nk_eccv2012_leafsnap.pdf

• DeepSound

  • http://news.mit.edu/2016/artificial-intelligence-produces-realistic-sounds-0613
  • http://www.stat.ucla.edu/~jxie/STGConvNet/STGConvNet.html
  • https://github.com/Fr-d-rik/generative_audio
  • https://deepmind.com/blog/wavenet-generative-model-raw-audio
  • https://regmedia.co.uk/2016/09/09/wavenet.pdf
  • https://github.com/basveeling/wavenet/
  • https://github.com/ibab/tensorflow-wavenet
  • https://github.com/tomlepaine/fast-wavenet
  • http://chuansong.me/n/1726826142735
  • http://chuansong.me/n/1734378542627
  • https://magenta.tensorflow.org/nsynth
    • https://arxiv.org/abs/1704.01279

• DeepFashion

  • https://indico.io/blog/fashion-matching-tutorial/
  • https://indico.io/blog/clothing-similarity-how-a-program-is-more-fashionable-than-me/
  • http://arxiv.org/abs/1510.02131
  • https://kddfashion2016.mybluemix.net/
  • http://cs231n.stanford.edu/reports/BLAO_KJAG_CS231N_FinalPaperFashionClassification.pdf
  • http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14773/13865
  • https://arxiv.org/abs/1604.07102
  • https://github.com/satojkovic/DeepLogo
    • http://matthewearl.github.io/2016/05/06/cnn-anpr/

• DeepGame

  • http://www.ehrenbrav.com/2016/08/teaching-your-computer-to-play-super-mario-bros-a-fork-of-the-google-deepmind-atari-machine-learning-project
  • http://arxiv.org/abs/1609.02993
  • https://arxiv.org/abs/1609.05521
  • https://github.com/jakevdp/altair-examples
  • https://deepmind.com/blog/deepmind-and-blizzard-release-starcraft-ii-ai-research-environment/
  • https://arxiv.org/abs/1611.00625
  • https://github.com/TorchCraft/TorchCraft
  • https://github.com/deepcraft/gym-starcraft
  • https://arxiv.org/abs/1702.05663
  • https://arxiv.org/abs/1702.06230
  • https://arxiv.org/abs/1703.10069
  • http://nihit.github.io/resources/spaceinvaders.pdf
  • http://www.cs.mun.ca/~dchurchill/starcraftaicomp/history.shtml

• HyperNetworks

  • http://blog.otoro.net/2016/09/28/hyper-networks/
  • https://arxiv.org/abs/1609.09106
  • http://blog.otoro.net/2015/07/31/neurogram/
  • https://github.com/hardmaru/neurogram