graph-based-captions/GBC10M-PromptGen-200M

Model

4

stars

7

commits

1

linked in READMEs

Mar 1, 2025

updated

endpoints_compatible
llama
safetensors
text-generation
text-generation-inference
transformers

README

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

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

For futher detail on how to use the model please refer to the accompanying code repository.

License

For license please checkout the 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

Contributors

yhsieh

5 commits

CY
cyber-meow

1 commits

nielsr

1 commits

graph-based-captions/GBC10M-PromptGen-200M

Model

4

stars

7

commits

1

linked in READMEs

Mar 1, 2025

updated

endpoints_compatible
llama
safetensors
text-generation
text-generation-inference
transformers

README

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

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

For futher detail on how to use the model please refer to the accompanying code repository.

License

For license please checkout the 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

Contributors

yhsieh

5 commits

CY
cyber-meow

1 commits

nielsr

1 commits