Elle McFarlane commited on
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update readme

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README.md CHANGED
@@ -12,7 +12,7 @@ tags: [diffusion, motiondiffuse, text2motion, smplx, smpl, smpl-x, smplify-x]
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  ---
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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>&emsp;
@@ -28,8 +28,8 @@ tags: [diffusion, motiondiffuse, text2motion, smplx, smpl, smpl-x, smplify-x]
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  </div>
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  <div style="display: flex; justify-content: center;">
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- <img src="text2motion/other/denoising.png" alt="De-noising process" style="width: 50%; margin: 0 auto;">
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- <img src="text2motion/other/happy_guy.png" alt="Happy guy" style="width: 40%; margin: 0 auto;">
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  </div>
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  </div>
@@ -41,7 +41,8 @@ Conditioning human motion on natural language (text-to-motion) is critical for m
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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 experience the demo of the model, check 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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  ---
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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>&emsp;
 
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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
figures/.DS_Store ADDED
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text2motion/.gitattributes ADDED
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+ *.png filter=lfs diff=lfs merge=lfs -text
text2motion/{outputs/denoising_grab_model.gif → media/happy_guy.png} RENAMED
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text2motion/media/learning_progress.png ADDED

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