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StyleNet is a novel framework to address the task of generating attractive captions for images and videos with different styles. A novel model component, named factored LSTM is used in StyleNet, which automatically distills the style factors in the monolingual text corpus.
framework
examples of generated captions
- A pytorch implemention of StyleNet
- Author: Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng
- Published in: Computer Vision and Pattern Recognition (CVPR), 2017
- URL: https://www.microsoft.com/en-us/research/wp-content/uploads/2017/06/Generating-Attractive-Visual-Captions-with-Styles.pdf
- Dataset: https://zhegan27.github.io/Paper.html
- Slideshare: https://www.slideshare.net/DeepLearningJP2016/dl-hacks-stylenet-generating-attractive-visual-captions-with-styles
- written by Kota Kakiuchi
- python 3.5.3
- pytorch 0.2.0
- torchvision 0.1.9
- numpy 1.13.3
- scikit-image 0.13.1
- nltk 3.2.5