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2017

Outline Colorization through Tandem Adversarial Networks

Frans, Kevin

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When creating digital art, coloring and shading are often time consuming tasks that follow the same general patterns.

A solution to automatically colorize raw line art would have many practical applications.
We propose a setup utilizing two networks in tandem: a color prediction network based only on outlines, and a shading network conditioned on both outlines and a color scheme.
We present processing methods to limit information passed in the color scheme, improving generalization.

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Levin, Anat and Lischinski, Dani and Weiss, Yair. Colorization using optimization. Trans. on Graphics (SIGGRAPH)
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Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio. Generative Adversarial Networks. arXiv preprint arXiv:1406.2661
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2014
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Mehdi Mirza, Simon Osindero. Conditional Generative Adversarial Nets. arXiv preprint arXiv:1411.1784
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2014
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Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov. Dropout: A Simple Way to Prevent Neural Networks from Overfitting Journal of Machine Learning Research
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