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@@ -57,8 +57,8 @@ This model has been trained on the following datasets:
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  - **HumanML3D**: Provides diverse scenarios from daily activities to complex sports movements.
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  - **AMASS**: A large-scale motion capture dataset that provides an extensive set of human movements and poses.
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- ## Acknowledgements
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-
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  @misc {vumichien_2023,
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  author = { {vumichien} },
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  title = { T2M-GPT (Revision e311a99) },
@@ -67,6 +67,9 @@ This model has been trained on the following datasets:
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  doi = { 10.57967/hf/0341 },
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  publisher = { Hugging Face }
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  }
 
 
 
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  We would like to thank the contributors and researchers in 3D Human Motion Generation domain who provided insights and datasets which were invaluable in developing the TRME model. Special thanks to Dr. Youshan Zhang (Assistant Professor at Yeshiva University, NYC) for his guidance and expertise throughout the project.
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  - **HumanML3D**: Provides diverse scenarios from daily activities to complex sports movements.
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  - **AMASS**: A large-scale motion capture dataset that provides an extensive set of human movements and poses.
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+ ## Citation
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+ ```
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  @misc {vumichien_2023,
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  author = { {vumichien} },
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  title = { T2M-GPT (Revision e311a99) },
 
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  doi = { 10.57967/hf/0341 },
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  publisher = { Hugging Face }
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  }
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+ ```
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+
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+ ## Acknowledgements
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  We would like to thank the contributors and researchers in 3D Human Motion Generation domain who provided insights and datasets which were invaluable in developing the TRME model. Special thanks to Dr. Youshan Zhang (Assistant Professor at Yeshiva University, NYC) for his guidance and expertise throughout the project.
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