CNN Assisted Colorization of Gray-scale Images
نویسندگان
چکیده
We propose a colorization tool which utilizes both minimal user input and traditional convolutional neural networks to color gray-scale images. Deep learning can only go so far in solving colorization. Our major contribution is to show how we can condense color information into a low dimensional color palette and be able to infer this color palette from minimal user input. This allows an interactive system in which a user can provide insightful color hints to gray-scale images in order to generate better colored image results.
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