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Elle McFarlane
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README.md
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<div align="center">
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<h1>Extension of MotionDiffuse for SMPLX features
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<h3>02456 Deep Learning, DTU Compute, Fall 2023</h3>
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<div>
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<a>Elle McFarlane</a> 
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</div>
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<div style="display: flex; justify-content: center;">
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<img src="text2motion/
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<img src="text2motion/
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Go to [text2motion/DTU_readme.md](text2motion/dtu_README.md) for installation instructions
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## Demo
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**Note:** To visualize the output, the `make gen` command must be run from the `text2motion` directory.
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## Acknowledgements
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<div align="center">
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<h1>Extension of MotionDiffuse for SMPLX features.</h1>
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<h3>02456 Deep Learning, DTU Compute, Fall 2023</h3>
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<div>
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<a>Elle McFarlane</a> 
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</div>
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<div style="display: flex; justify-content: center;">
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<img src="text2motion/media/learning_progress.png" alt="Learning progress" style="width: 50%; margin: 0 auto;">
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<img src="text2motion/media/happy_guy.png" alt="Happy guy" style="width: 40%; margin: 0 auto;">
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</div>
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</div>
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Go to [text2motion/DTU_readme.md](text2motion/dtu_README.md) for installation instructions
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## Demo
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To demo the model, see the Hugging Face [space](https://huggingface.co/spaces/ellemac/Text2EMotionDiffuse?logs=container) or
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checkout the notebook [text2motion/demo.ipynb](text2motion/demo.ipynb). The notebook will guide you through the process of generating a motion from a text prompt. The same code is also available as a python script [text2motion/demo.py](text2motion/demo.py).\
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**Note:** To visualize the output, the `make gen` command must be run from the `text2motion` directory.
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## Acknowledgements
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figures/.DS_Store
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text2motion/.gitattributes
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*.png filter=lfs diff=lfs merge=lfs -text
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text2motion/{outputs/denoising_grab_model.gif → media/happy_guy.png}
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text2motion/media/learning_progress.png
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