arXiv · 1804.06026
Learning to Color from Language
Abstract
Automatic colorization is the process of adding color to greyscale images. We condition this process on language, allowing end users to manipulate a colorized image by feeding in different captions. We present two different architectures for language-conditioned colorization, both of which produce more accurate and plausible colorizations than a language-agnostic version. Through this language-based framework, we can dramatically alter colorizations by manipulating descriptive color words in captions.
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Varun Manjunatha, Mohit Iyyer, Jordan Boyd-Graber, Larry Davis. 2018-04-17. Learning to Color from Language. https://arxiv.org/abs/1804.06026
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