BehzadBozorgtabar / FSDA

PyTorch Implementation of Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis

Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis

This repository includes the training and testing codes for: "Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis".

Dependencies

• Python2.7
• PyTorch
• torchvision
• OpenCV
• Dlib

Datasets

• The Binghamton University 3D Facial Expression Database (BU-3DFE)
• The Radboud Faces Database (RaFD)
• The MUG dataset
• Oulu-CASIA VIS

Usage:

Clone the repository

$ git clone https://github.com/BehzadBozorgtabar/FSDA.git
cd master

Train

python synthesis.py --mode='train'

Test

python synthesis.py --mode='test'

Face Synthesis Model