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Threedle (University of Chicago) · GitHub

Threedle (University of Chicago)

README.md

3DL "Threedle" at the University of Chicago

Our 3DL group is a computer graphics collective at UChicago led by Rana Hanocka. Our work aims to build a strong foundation for robustly processing, analyzing, and synthesizing 3D data using deep learning.

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  1. text2mesh text2mesh Public

    3D mesh stylization driven by a text input in PyTorch

    Jupyter Notebook 977 135

  2. DA-Wand DA-Wand Public

    Maps a user-selected point to a segmentation which induces a low distortion parameterization

    Python 54 7

  3. 3d-paintbrush 3d-paintbrush Public

    Local text-driven editing of 3D shapes with Cascaded Score Distillation

    Jupyter Notebook 85 15

  4. GeoCode GeoCode Public

    GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to intuitively edit the recovered 3D shapes from a point cloud or sketch input.

    Python 419 23

  5. iSeg iSeg Public

    Interactive 3D Segmentation via Interactive Attention

    Jupyter Notebook 38 6

  6. geometry-in-style geometry-in-style Public

    Identity-preserving 3D geometric stylization via surface normal deformation (CVPR 2025)

    Python 45 5

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