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Adapted signed distance function (SDF) for detecting collisions between 3D interacting hands.

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Implementation of the SDF Loss

We provide the implementation of Signed Distance Functinon (SDF) to detect collisions between 3D interacting hands.

Installation instructions

You can install the package by running

python setup.py develop

Acknowledgements

The code is adapted from origin SDF implemented by Wen Jiang.

If you find this code useful for your research, please consider citing the following paper:

@InProceedings{rong2021ihmr,
    author = {Rong, Yu and Wang, Jingbo and Liu, Ziwei and Loy, Chen Change},
    title = {Monocular 3D Reconstruction of Interacting Handsvia Collision-Aware Factorized Refinements},
    booktitle = {3DV},
    year = {2021}
}

@Inproceedings{jiang2020mpshape,
    author = {Jiang, Wen and Kolotouros, Nikos and Pavlakos, Georgios and Zhou, Xiaowei and Daniilidis, Kostas},
    title = {Coherent Reconstruction of Multiple Humans from a Single Image},
    booktitle = {CVPR},
    year = {2020}
}

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