antoinedandi / facemorphing Goto Github PK

FaceMorphing/
  │
  ├── README.md
  ├── requirements.txt
  │
  ├── align_images.py                            - align faces from input images
  ├── encode_images.py                           - find latent representation of reference images using perceptual losses
  ├── face_morphing_latent_interpolation.py      - perform face morphing by interpolating the latent space of StyleGAN
  ├── face_morphing_concurrent_optimization.py   - perform face morphing with concurrent optimization in the latent space of a pretrained StyleGAN
  ├── train_resnet.py                            - train a ResNet to predict latent representations of images in a StyleGAN model from generated examples
  │
  ├── notebooks/
  │   └── FaceMorphing.py   - Colab notebook containing instructions to perform face morphing
  │
  ├── figures/  - saved figures of face morphing results
  │
  ├── encoder/  - folder containing the models for the generator and for the perceptual loss
  │   ├── generator_model.py                 - model for styleGAN's generator
  │   ├── perceptual_model.py                - model for the perceptual loss in the case of face embedding
  │   └── perceptual_model_concurrent.py     - model for the perceptual loss in the case of concurrent optimization
  │
  ├── utils/ - utils scripts and functions
  │   ├── face_utilities/   - folder containing scripts, functions and models for face alignement, recognition, etc.
  │   └── utils.py 
  │
  └── dnnlib/   - helper library by NVIDIA for deep neural networks