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Learning to Color from Language
April 17, 2018 Β· Declared Dead Β· π North American Chapter of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Varun Manjunatha, Mohit Iyyer, Jordan Boyd-Graber, Larry Davis
arXiv ID
1804.06026
Category
cs.CV: Computer Vision
Cross-listed
cs.CL
Citations
58
Venue
North American Chapter of the Association for Computational Linguistics
Last Checked
4 months ago
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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