[Arxiv] [Video]

Evaluation code for Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation. Given a single image, the code outputs the reconstructed mesh.

2020.05.07: We have released a PyTorch version of this repository and encourage you to give it a try!

2018.07.20: Spiltted postprocess into the different steps composing the pipeline, changed models to float to save space.

The project was tested on Ubuntu 14.04 LTS with Matlab R2015b, to run it follow these instructions:

• Make sure you have Torch installed on your machine.

• Install the mattorch and nngraph packages.

  luarocks install mattorch    
  luarocks install nngraph

• Download the model files and extract them into the models directroy.

• Run the runme.m script in Matlab.

If you use this code for your research, please cite our paper Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation:

@article{sela2017unrestricted,
  title={Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation},
  author={Sela, Matan and Richardson, Elad and Kimmel, Ron},
  journal={arxiv},
  year={2017}
}