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diffaqua's Introduction

DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation

teaser

Pingchuan Ma, Tao Du, John Z. Zhang, Kui Wu, Andrew Spielberg, Robert K. Katzschmann, and Wojciech Matusik

SIGGRAPH 2021 [Project Page] [Paper] [Video]

@article{ma2021diffaqua,
  title={DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation},
  author={Ma, Pingchuan and Du, Tao and Zhang, John Z and Wu, Kui and Spielberg, Andrew and Katzschmann, Robert K and Matusik, Wojciech},
  journal={ACM Transactions on Graphics (TOG)},
  volume={40},
  number={4},
  pages={132},
  year={2021},
  publisher={ACM New York, NY, USA}
}

Get Started

Prerequistes

  • Ubuntu 18.04 LTS

  • CUDA 10.2

  • Anaconda 2020.11

    wget -P /tmp https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh
    sh /tmp/Anaconda3-2020.11-Linux-x86_64.sh
  • Suitesparse

    # probably need `sudo`
    apt-get install libsuitesparse-dev

Installation

  • Restore Anaconda environment

    conda env create -f environment.yml
    conda activate diffaqua
  • Install diffpd

    cd /path/to/root/external/diffpd/
    pip install -e . -v
  • Install diffaqua

    cd /path/to/root/
    pip install -e . -v

Run Experiment

  • Open-loop co-optimization

    cd /path/to/root/example/
    python openloop.py

    More to come!

  • Visualize the results using tensorboard

    cd /path/to/root/example/experiments/
    tensorboard --logdir . --port 8888

Contact

If you have any questions about the paper or the codebase, please feel free to contact [email protected].

diffaqua's People

Contributors

pingchuanma avatar

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