Face-Aging-CAAE-Pytorch
- Pytorch implementation of Age Progression/Regression by Conditional Adversarial Autoencoder
- reference: TensorFlow implementation of CAAE
- gave a presentation in 2017 YONSEI BIGDATA CONFERENCE by team FACEBIGTA.
Requirements
- pytorch 0.2.0
- UTKFace Aligned&Cropped dataset
Usage
- git clone or download zip file of this repository
- download Aligned & Cropped version of UTKFace from here
- execute main.py in bash
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
Irene, Korean Celebrity
