Abstract
This paper proposes a novel approach to generate multiple color palettes that reflect the semantics of input text and then colorize a given grayscale image according to the generated color palette. In contrast to existing approaches, our model can understand rich text, whether it is a single word, a phrase, or a sentence, and generate multiple possible palettes from it. For this task, we introduce our manually curated dataset called Palette-and-Text (PAT). Our proposed model called Text2Colors consists of two conditional generative adversarial networks: the text-to-palette generation networks and the palette-based colorization networks. The former captures the semantics of the text input and produce relevant color palettes. The latter colorizes a grayscale image using the generated color palette. Our evaluation results show that people preferred our generated palettes over ground truth palettes and that our model can effectively reflect the given palette when colorizing an image.
Original language | English |
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Title of host publication | Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings |
Editors | Martial Hebert, Vittorio Ferrari, Cristian Sminchisescu, Yair Weiss |
Publisher | Springer Verlag |
Pages | 443-459 |
Number of pages | 17 |
ISBN (Print) | 9783030012571 |
DOIs | |
Publication status | Published - 2018 |
Event | 15th European Conference on Computer Vision, ECCV 2018 - Munich, Germany Duration: 2018 Sept 8 → 2018 Sept 14 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11216 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 15th European Conference on Computer Vision, ECCV 2018 |
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Country/Territory | Germany |
City | Munich |
Period | 18/9/8 → 18/9/14 |
Bibliographical note
Publisher Copyright:© Springer Nature Switzerland AG 2018.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science