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ID-Aligner

★ 121 Open GitHub ↗

Official implement of ID-Aligner

// repository documentation

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<h1> ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning  </h1>

Weifeng Chen*, Jiacheng Zhang*, Jie Wu†, Hefeng Wu, Xuefeng Xiao, Liang Lin

(*Equal Contribution , † Project Lead)

ByteDance, Sun Yat-Sen University

<a href='https://idaligner.github.io/'><img src='https://img.shields.io/badge/Project-Page-blue'></a> 
<a href='https://arxiv.org/abs/2404.15449'><img src='https://img.shields.io/badge/ Paper-Arxiv-red'></a> 
![GitHub Org's stars](https://img.shields.io/github/stars/Weifeng-Chen/ID-Aligner)

</div>

## Release

- `[2024/04/24]` 🔥 We release the [arxiv paper](https://arxiv.org/abs/2404.15449).

<!-- ## Quicktour

We provide a standalone [example code](quicktour.py) to help you quickly use resadapter with diffusion models.

## Citation
If you find ID-Aligner useful for your research and applications, please cite us using this BibTeX:
```
@misc{chen2024idaligner,
      title={ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning}, 
      author={Weifeng Chen and Jiacheng Zhang and Jie Wu and Hefeng Wu and Xuefeng Xiao and Liang Lin},
      year={2024},
      eprint={2404.15449},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
```
For any question, please feel free to contact us.

ID-Aligner

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