Code for Age progression/Regression, http://web.eecs.utk.edu/~zzhang61/docs/papers/2017_CVPR_Age.pdf
pip install -r requirements.txt
Training - Colab Notebook
Inference - Colab Notebook - pending
Snapshot
python main.py
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