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

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

X Title: GitHub - DeepLearningImageCompression/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. - DeepLearningImageCompression/colorization

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

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

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

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README.md	https://github.com/DeepLearningImageCompression/colorization/blob/master/README.md
README.md	https://github.com/DeepLearningImageCompression/colorization/blob/master/README.md
README	https://github.com/DeepLearningImageCompression/colorization/tree/master
BSD-2-Clause license	https://github.com/DeepLearningImageCompression/colorization/tree/master
[Project Page]	http://richzhang.github.io/colorization/
	https://github.com/DeepLearningImageCompression/colorization/tree/master#colorful-image-colorization-project-page-
Richard Zhang	https://richzhang.github.io/
Phillip Isola	http://web.mit.edu/phillipi/
Alexei A. Efros	http://www.eecs.berkeley.edu/~efros/
ECCV, 2016	http://arxiv.org/pdf/1603.08511.pdf
	https://camo.githubusercontent.com/c98cc8ca337b82a25ad2538036d2c3f37fd8ccdf5745e597e6cf087b6a6f71ce/687474703a2f2f726963687a68616e672e6769746875622e696f2f636f6c6f72697a6174696f6e2f7265736f75726365732f696d616765732f746561736572342e6a7067
	https://github.com/DeepLearningImageCompression/colorization/tree/master#overview
	https://github.com/DeepLearningImageCompression/colorization/tree/master#clone-this-repository
	https://github.com/DeepLearningImageCompression/colorization/tree/master#dependencies
Caffe	http://caffe.berkeleyvision.org/
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	https://github.com/DeepLearningImageCompression/colorization/tree/master#colorization-centric-functionality
	https://github.com/DeepLearningImageCompression/colorization/tree/master#0-test-time-python-script
	https://github.com/DeepLearningImageCompression/colorization/tree/master#1-test-time-demo-in-ipython-notebook
./demo/colorization_demo_v2.ipynb	https://github.com/richzhang/colorization/blob/master/demo/colorization_demo_v2.ipynb
	https://github.com/DeepLearningImageCompression/colorization/tree/master#2-training-usage
Kraehenbuehl et al, ICLR 2016	https://github.com/philkr/magic_init
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ECCV 2016 camera ready	https://github.com/DeepLearningImageCompression/colorization/blob/master/arxiv.org/pdf/1603.08511.pdf
arXiv v1	https://github.com/DeepLearningImageCompression/colorization/blob/master/arxiv.org/pdf/1603.08511v1.pdf
	https://github.com/DeepLearningImageCompression/colorization/tree/master#3-results--real-vs-fake-test
this repository	https://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 Truth	http://colorization.eecs.berkeley.edu/imgs/gt_imgs_0/
	https://github.com/DeepLearningImageCompression/colorization/tree/master#representation-learning-centric-functionality
	https://github.com/DeepLearningImageCompression/colorization/tree/master#4-pre-trained-representation-learning-models
	https://github.com/DeepLearningImageCompression/colorization/tree/master#5-training-alexnet-with-colorization
Kraehenbuehl et al, ICLR 2016	https://github.com/philkr/magic_init
Kraehenbuehl et al, ICLR 2016	https://github.com/philkr/magic_init
	https://github.com/DeepLearningImageCompression/colorization/tree/master#6-representation-learning-tests
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	https://github.com/DeepLearningImageCompression/colorization/tree/master#related-follow-up-work
Website	https://richzhang.github.io/ideepcolor/
GitHub	https://github.com/junyanz/ideepcolor
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GitHub	https://github.com/richzhang/splitbrainauto
	https://github.com/DeepLearningImageCompression/colorization/tree/master#citation
bibtex	http://richzhang.github.io/colorization/resources/bibtex_eccv2016_colorization.txt
	https://github.com/DeepLearningImageCompression/colorization/tree/master#misc
richzhang.github.io/colorization/	http://richzhang.github.io/colorization/
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