---
datasets:
- graph-based-captions/GBC10M
language:
- en
license: apple-ascl
library_name: transformers
pipeline_tag: text-generation
---

### Graph-based captioning (GBC) is a new image annotation paradigm that combines the strengths of long captions, region captions, and scene graphs

GBC interconnects region captions to create a unified description akin to a long caption, while also providing structural information similar to scene graphs.
![assets/GBC_illustration.png](assets/GBC_illustration.png)

### Text-to-Image with GBC as Middleware

We propose to use GBC as middleware for text-to-image generation. This repository provides a model for generating GBC annotation from a simple text prompt.
![assets/GBC_promptgen.png](assets/GBC_promptgen.png)

For futher detail on how to use the model please refer to the [accompanying code repository](https://github.com/apple/ml-gbc?tab=readme-ov-file#-gbc-text-to-image).

### License

For license please checkout the [LICENSE](LICENSE) file.

### Citation

```
@article{GBC2024,
  title={Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions},
  author={Yu-Guan Hsieh and Cheng-Yu Hsieh and Shih-Ying Yeh and Louis Béthune and Hadi Pouransari and Pavan Kumar Anasosalu Vasu and Chun-Liang Li and Ranjay Krishna and Oncel Tuzel and Marco Cuturi},
  journal={arXiv preprint arXiv:2407.06723},
  year={2024}
}
```

[Project page](https://huggingface.co/graph-based-captions)