Differentiable Surface Triangulation

Related tags

Deep Learning diff-surface-triangulation
Overview

Differentiable Surface Triangulation

This is our implementation of the paper Differentiable Surface Triangulation that enables optimization for any per-vertex or per-face differentiable objective function over the space of underlying surface triangulations.

diff-surface-triangulation

This code was written by Marie-Julie Rakotosaona.

Prerequisites

  • CUDA and CuDNN (changing the code to run on CPU should require few changes)
  • Python 3.6
  • Tensorflow 1.15

Setup

Install required python packages, if they are not already installed:

pip install numpy
pip install scipy
pip install trimesh

Clone this repository:

git clone https://github.com/mrakotosaon/diff-meshing.git
cd dse-meshing

Optimization

To run the optimization on the given pre-processed patches for the curvature alignment experiment:

python optimize_curvature.py

for the triangle size experiment:

python optimize_triangle_size.py

Citation

If you use our work, please cite our paper.

License: CC BY-NC 4.0

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. For any commercial uses or derivatives, please contact us.

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Comments
  • What am I supposed to see in the output?

    What am I supposed to see in the output?

    Hi,

    I came across your paper at Siggraph Asia 2021. It was interesting work so I wanted to try. I managed to run everything and specifically I am running right now the optimize_curvature and it's running on a cat kind of mesh.

    I am not sure what the final output of this process is supposed to be. Also, can I change the input with any triangulated, manifold, mesh?

    Thank you

    opened by lukkio88 5
  • Code of Loseille. 2017

    Code of Loseille. 2017

    Could you please share the code of Loseille. 2017 "Unstructured mesh generation and adaptation". It takes me a lot of time without any solution...

    opened by mtk380 0
Owner
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