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  # iVideoGPT (Pre-trained on Open X-Embodiment, 64x64 resolution, action-free)
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- Pre-trained model introduced in the paper [iVideoGPT: Interactive VideoGPTs are Scalable World Models
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- ](https://arxiv.org/abs/2405.15223).
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  See https://github.com/thuml/iVideoGPT for examples for using this model.
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  ## Citation
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  ```
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- @article{wu2024ivideogpt,
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  title={iVideoGPT: Interactive VideoGPTs are Scalable World Models},
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  author={Jialong Wu and Shaofeng Yin and Ningya Feng and Xu He and Dong Li and Jianye Hao and Mingsheng Long},
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- journal={arXiv preprint arXiv:2405.15223},
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- year={2024},
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  }
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  ```
 
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  # iVideoGPT (Pre-trained on Open X-Embodiment, 64x64 resolution, action-free)
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+ Pre-trained model introduced in the paper [iVideoGPT: Interactive VideoGPTs are Scalable World Models](https://arxiv.org/abs/2405.15223).
 
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  See https://github.com/thuml/iVideoGPT for examples for using this model.
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  ## Citation
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  ```
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+ @inproceedings{wu2024ivideogpt,
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  title={iVideoGPT: Interactive VideoGPTs are Scalable World Models},
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  author={Jialong Wu and Shaofeng Yin and Ningya Feng and Xu He and Dong Li and Jianye Hao and Mingsheng Long},
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+ booktitle={Advances in Neural Information Processing Systems},
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+ year={2024}
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  }
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  ```