/Face-Aging-CAAE-Pytorch

Age Progression/Regression by Conditional Adversarial Autoencoder

Primary LanguageJupyter Notebook

Face-Aging-CAAE-Pytorch

Requirements

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



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