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@@ -16,5 +16,21 @@ We introduce Jodi, a diffusion framework that unifies visual generation and unde
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  - **arXiv**: <https://arxiv.org/abs/2505.19084>
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  - **Project page**: <https://VIPL-GENUN.github.io/Project-Jodi>
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  - **GitHub**: <https://github.com/VIPL-GENUN/Jodi>
 
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  ![](./assets/banner.jpg)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - **arXiv**: <https://arxiv.org/abs/2505.19084>
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  - **Project page**: <https://VIPL-GENUN.github.io/Project-Jodi>
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  - **GitHub**: <https://github.com/VIPL-GENUN/Jodi>
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+ - **Joint-1.6M Dataset**: <https://huggingface.co/datasets/VIPL-GENUN/Joint-1.6M-1024px>
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  ![](./assets/banner.jpg)
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+ <br>
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+
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+ # Citation
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+
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+ If you find this project helpful, please consider citing:
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+
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+ ```bibtex
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+ @article{xu2025jodi,
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+ title={Jodi: Unification of Visual Generation and Understanding via Joint Modeling},
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+ author={Xu, Yifeng and He, Zhenliang and Kan, Meina and Shan, Shiguang and Chen, Xilin},
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+ journal={arXiv preprint arXiv:2505.19084},
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+ year={2025}
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+ }
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+ ```