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SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Linguistic style is an essential part of written communication, with the power to affect both clarity and attractiveness. With recent advances in vision and language, we can start to tackle the problem of generating image captions that are both visually grounded and appropriately styled. Existing approaches either require styled training captions aligned to images or generate captions with low relevance. We develop a model that learns to generate visually relevant styled captions from a large
doi:10.1109/cvpr.2018.00896
dblp:conf/cvpr/MathewsXH18
fatcat:xsd2zvxz3jdclk25q6c2jdaiz4