Awesome
Face Aging CAAE
Requirements
pip install -r requirements.txt
- torchvision 0.4.0
- torch 1.2.0
- UTKFace Aligned&Cropped dataset
Colab Notebook
Training - Colab Notebook
Inference - Colab Notebook - pending
Snapshot
Usage
- git clone or download zip file of this repository
- download Aligned & Cropped version of UTKFace from here
- Install requirements
- execute main.py
python main.py
Results
UTKFace
rows: years of 0 ~ 5, 5 ~ 10, 10 ~ 15, 16 ~ 20, 21 ~ 30, 31 ~ 40, 41 ~ 50, 51 ~ 60, 61 ~ 70, over 70
epoch:50, step:86
EG_L1_loss:0.075875 |G_img_loss:5.226651
G_tv_loss:0.003358 |Ez_loss:0.851948
D_img:0.998970 |D_reconst:0.015672 |D_loss:0.017007
D_z:0.435863 |D_z_prior:0.606904 |Dz_loss:1.133016
output with 1.7k images trained for 50 epochs
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To-do:
- Check the corretness of model
- Write inference code with trained weights
- Release pretrained weights for this repo