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Differentiable Convex Polyhedra Optimization from Multi-view Images

This is the code for the paper "Differentiable Convex Polyhedra Optimization from Multi-view Images" (This repo is still under construction. Please check back later for updates.)

Install dependencies for building

sudo apt-get install -y git
sudo apt-get install -y cmake
sudo apt-get install -y ninja-build
sudo apt-get install -y build-essential
sudo apt-get install -y libcgal-dev
sudo apt-get install -y libtbb-dev

install python packages

pip install torch torchvision torchaudio
git clone https://github.com/NVlabs/nvdiffrast
cd nvdiffrast
pip install .
pip install imageio
pip install trimesh
pip install pandas
pip install scipy
pip install "git+https://github.com/facebookresearch/pytorch3d.git"
pip install ./diff_convex # install this package

Run example

python reconstruct_mesh.py --mesh scenes/meshes/bunny.ply

Notes on running with your own data

1. Make sure your mesh is the same scale as the bunny mesh.
2. Make sure your mesh does not have flip normals
3. Only PLY file is supported After that, you can run the code with your own mesh.

python reconstruct_mesh.py --mesh path_to_your_mesh.ply

Disclaimer

The code in scripts and the scenes are copy from the large-steps-pytorch repository. Please consider citing their work if you use this code.