Add library_name, pipeline_tag and project page (#1)
Browse files- Add library_name, pipeline_tag and project page (6a249fa18bc73c5701ebcd52c5ab720d55820219)
Co-authored-by: Niels Rogge <[email protected]>
README.md
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---
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license: apple-ascl
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datasets:
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- graph-based-captions/GBC10M
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language:
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- en
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---
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### Graph-based captioning (GBC) is a new image annotation paradigm that combines the strengths of long captions, region captions, and scene graphs
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GBC interconnects region captions to create a unified description akin to a long caption, while also providing structural information similar to scene graphs.
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-
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### Text-to-Image with GBC as Middleware
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We propose to use GBC as middleware for text-to-image generation. This repository provides model for generating GBC annotation from simple text prompt.
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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).
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journal={arXiv preprint arXiv:2407.06723},
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year={2024}
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}
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---
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datasets:
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- graph-based-captions/GBC10M
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language:
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- en
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license: apple-ascl
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library_name: transformers
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pipeline_tag: text-generation
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---
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### Graph-based captioning (GBC) is a new image annotation paradigm that combines the strengths of long captions, region captions, and scene graphs
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GBC interconnects region captions to create a unified description akin to a long caption, while also providing structural information similar to scene graphs.
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### Text-to-Image with GBC as Middleware
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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.
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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).
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journal={arXiv preprint arXiv:2407.06723},
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year={2024}
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}
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```
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[Project page](https://huggingface.co/graph-based-captions)
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