Network

Riggable 3D Face Reconstruction via In-Network Optimization

INORig

Source code for CVPR 2021 paper “Riggable 3D Face Reconstruction via In-Network Optimization”.

Installation

(1) Create an Anaconda environment.

conda env create -f env.yaml
conda activate INORig

(2) Clone the repository and install dependencies.

git clone https://github.com/zqbai-jeremy/INORig.git
cd INORig
pip install -r requirements_pip.txt

(3) Setup 3DMM

mkdir external
cd external
git clone https://github.com/zqbai-jeremy/face3d.git
cd face3d

  • Setup face3d as in YadiraF/face3d.

  • Download “Exp_Pca.bin” from Guo et al. (in “CoarseData” link of their repository)
    and copy to “/external/face3d/examples/Data/BFM/Out/”.

  • Download “std_exp.txt” from Deng et al.
    and copy to “/external/face3d/examples/Data/BFM/Out/”.

(5) Download pre-trained model (Due to the sensitivity of face swapping, please email [email protected] to

 

 

 

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