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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-surface-triangulation.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.

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