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@@ -17,7 +17,7 @@ base_model: stabilityai/stable-diffusion-xl-base-1.0
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  <img src="https://github.com/mapo-t2i/mapo/blob/main/assets/mapo_overview.png?raw=true" width=750/>
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  </div><br>
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- We propose **MaPO**, a reference-free, sample-efficient, memory-friendly alignment technique for text-to-image diffusion models. For more details on the technique, please refer to our paper [here] (TODO).
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  ## Developed by
@@ -165,12 +165,12 @@ For qualitative results, please visit our [project website](https://mapo-t2i.git
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  ## Citation
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  ```bibtex
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- @misc{todo,
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- title={Margin-aware Preference Optimization for Aligning Diffusion Models without Reference},
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- author={Jiwoo Hong and Sayak Paul and Noah Lee and Kashif Rasuland James Thorne and Jongheon Jeong},
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- year={2024},
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- eprint={todo},
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- archivePrefix={arXiv},
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- primaryClass={cs.CV,cs.LG}
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  }
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  ```
 
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  <img src="https://github.com/mapo-t2i/mapo/blob/main/assets/mapo_overview.png?raw=true" width=750/>
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  </div><br>
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+ We propose **MaPO**, a reference-free, sample-efficient, memory-friendly alignment technique for text-to-image diffusion models. For more details on the technique, please refer to our paper [here](https://arxiv.org/abs/2406.06424).
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  ## Developed by
 
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  ## Citation
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  ```bibtex
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+ @misc{hong2024marginaware,
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+ title={Margin-aware Preference Optimization for Aligning Diffusion Models without Reference},
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+ author={Jiwoo Hong and Sayak Paul and Noah Lee and Kashif Rasul and James Thorne and Jongheon Jeong},
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+ year={2024},
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+ eprint={2406.06424},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV}
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  }
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  ```