mlsanityData to 14 Oct 2026

Learning to Color from Language

arXiv 1804.06026 ↗First posted 17 Apr 2018cs.CV cs.CLcited by 16

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Abstract (arXiv)

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.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Apr 2018.

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Citing papers per year: 2021: 4; 2022: 1; 2023: 3; 2024: 7; 2025: 1.

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