Generating Images from Captions with Attention
Abstract
Motivated by the recent progress in generative models, we introduce a model that generates images from natural language descriptions. The proposed model iteratively draws patches on a canvas, while attending to the relevant words in the description. After training on Microsoft COCO, we compare our model with several baseline generative models on image generation and retrieval tasks. We demonstrate that our model produces higher quality samples than other approaches and generates images with novel scene compositions corresponding to previously unseen captions in the dataset.
Cite
Text
Mansimov et al. "Generating Images from Captions with Attention." International Conference on Learning Representations, 2016.Markdown
[Mansimov et al. "Generating Images from Captions with Attention." International Conference on Learning Representations, 2016.](https://mlanthology.org/iclr/2016/mansimov2016iclr-generating/)BibTeX
@inproceedings{mansimov2016iclr-generating,
title = {{Generating Images from Captions with Attention}},
author = {Mansimov, Elman and Parisotto, Emilio and Ba, Lei Jimmy and Salakhutdinov, Ruslan},
booktitle = {International Conference on Learning Representations},
year = {2016},
url = {https://mlanthology.org/iclr/2016/mansimov2016iclr-generating/}
}