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Title: GitHub - developius/colorization: Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016. · GitHub

Open Graph Title: GitHub - developius/colorization: Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

X Title: GitHub - developius/colorization: Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Description: Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016. - developius/colorization

Open Graph Description: Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016. - developius/colorization

X Description: Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016. - developius/colorization

Opengraph URL: https://github.com/developius/colorization

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[Project Page]http://richzhang.github.io/colorization/
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Richard Zhanghttps://richzhang.github.io/
Phillip Isolahttp://web.mit.edu/phillipi/
Alexei A. Efroshttp://www.eecs.berkeley.edu/~efros/
ECCV, 2016http://arxiv.org/pdf/1603.08511.pdf
https://camo.githubusercontent.com/c98cc8ca337b82a25ad2538036d2c3f37fd8ccdf5745e597e6cf087b6a6f71ce/687474703a2f2f726963687a68616e672e6769746875622e696f2f636f6c6f72697a6174696f6e2f7265736f75726365732f696d616765732f746561736572342e6a7067
https://github.com/developius/colorization#overview
https://github.com/developius/colorization#clone-this-repository
https://github.com/developius/colorization#dependencies
Caffehttp://caffe.berkeleyvision.org/
installation guidehttp://caffe.berkeleyvision.org/
Caffe users grouphttps://groups.google.com/forum/#!forum/caffe-users
https://github.com/developius/colorization#colorization-centric-functionality
https://github.com/developius/colorization#0-test-time-python-script
https://github.com/developius/colorization#1-test-time-demo-in-ipython-notebook
./demo/colorization_demo_v2.ipynbhttps://github.com/richzhang/colorization/blob/master/demo/colorization_demo_v2.ipynb
https://github.com/developius/colorization#2-training-usage
Kraehenbuehl et al, ICLR 2016https://github.com/philkr/magic_init
installation guidehttp://caffe.berkeleyvision.org/
Caffe users grouphttps://groups.google.com/forum/#!forum/caffe-users
ECCV 2016 camera readyhttps://github.com/developius/colorization/blob/master/arxiv.org/pdf/1603.08511.pdf
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https://github.com/developius/colorization#3-results--real-vs-fake-test
this repositoryhttps://github.com/phillipi/AMT_Real_vs_Fake
Ours (full)http://colorization.eecs.berkeley.edu/imgs/classrebal_turk_imgs_438000/
Ours (class, no rebal)http://colorization.eecs.berkeley.edu/imgs/classnorebal_turk_imgs_446000/
Ours (L2)http://colorization.eecs.berkeley.edu/imgs/regress_turk_imgs_534000/
Ours (L2, ft from class)http://colorization.eecs.berkeley.edu/imgs/regressft_turk_imgs_312000/
Ground Truthhttp://colorization.eecs.berkeley.edu/imgs/gt_imgs_0/
https://github.com/developius/colorization#representation-learning-centric-functionality
https://github.com/developius/colorization#4-pre-trained-representation-learning-models
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Kraehenbuehl et al, ICLR 2016https://github.com/philkr/magic_init
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https://github.com/developius/colorization#6-representation-learning-tests
Split-Brain Autoencoder paperhttps://richzhang.github.io/splitbrainauto/
VOC-Classification Repohttps://github.com/jeffdonahue/voc-classification
FCN repohttps://github.com/shelhamer/fcn.berkeleyvision.org
Fast R-CNNhttps://github.com/rbgirshick/fast-rcnn
https://github.com/developius/colorization#related-follow-up-work
Websitehttps://richzhang.github.io/ideepcolor/
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