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README.md
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## Acknowledgements
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We would like to express our gratitude to the SEED team for their support. Special thanks to Lu Jiang, Haoyuan Guo, Zhibei Ma, and Sen Wang for their assistance with the model and data. In addition, we are also very grateful to Siying Chen, Qingyang Li, and Wei Han for their help with the evaluation.
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##
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If Phantom is helpful, please help to ⭐ our [repo](https://github.com/Phantom-video/Phantom).
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If you find this project useful for your research, please consider citing our [paper](https://arxiv.org/abs/2502.11079).
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```bibtex
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@article{liu2025phantom,
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title={Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment},
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journal={arXiv preprint arXiv:2502.11079},
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year={2025}
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}
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```
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## Acknowledgements
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We would like to express our gratitude to the SEED team for their support. Special thanks to Lu Jiang, Haoyuan Guo, Zhibei Ma, and Sen Wang for their assistance with the model and data. In addition, we are also very grateful to Siying Chen, Qingyang Li, and Wei Han for their help with the evaluation.
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## ⭐ Citation
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If Phantom is helpful, please help to ⭐ our [repo](https://github.com/Phantom-video/Phantom).
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If you find this project useful for your research, please consider citing our [paper](https://arxiv.org/abs/2502.11079).
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### BibTeX
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```bibtex
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@article{liu2025phantom,
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title={Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment},
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journal={arXiv preprint arXiv:2502.11079},
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year={2025}
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}
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```
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## :e-mail: Contact
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If you have any comments or questions regarding this open-source project, please open a new issue or contact [Tianxiang Ma](https://tianxiangma.github.io/).
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