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README.md

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-license: mit
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+# 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}
+}
+```