We address a novel problem of stylized-colorization which colorizes a given line art using a given coloring style in text. We propose a GAN- based end-to-end model for stylized-colorization where the model has one generator and two discriminators. Extensive experiments demonstrate the effectiveness of our proposed model.

Stylized-Colorization for Line Arts

**Session Chair**: prof. Aliaksandr Siarohin

PS T3.4: Computer Vision, Detection and Applications

poster

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
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Tzu-Ting Fang

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Stylized-Colorization for Line Arts

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