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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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@
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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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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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```
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