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---
license: mit
---
# FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions
A framework designed to generate semantically rich image captions.
## Resources
- 💻 **Project Page**: For more details, visit the official [project page](https://rotsteinnoam.github.io/FuseCap/).
- 📝 **Read the Paper**: You can find the paper [here](https://arxiv.org/abs/2305.17718).
- 🚀 **Demo**: Try out our BLIP-based model [demo](https://huggingface.co./spaces/noamrot/FuseCap) trained using FuseCap, hosted on Huggingface Spaces.
## Upcoming Updates
The official codebase and trained models for this project will be released soon.
## BibTeX
``` Citation
@misc{rotstein2023fusecap,
title={FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions},
author={Noam Rotstein and David Bensaid and Shaked Brody and Roy Ganz and Ron Kimmel},
year={2023},
eprint={2305.17718},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
``` |