/minimal-cyclegan

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Primary LanguagePythonMIT LicenseMIT

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks using Pytorch

Reference

  • Paper Link
  • Author: Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
  • Organization: Berkeley AI Research (BAIR) Lab, UC Berkeley

Prepare data

dataset
 ├── monet2photo
 │   ├── trainA
 │   ├── trainB
 |   ├── testA
 │   ├── testB

Usage

  • train
python main.py
  • test
python main.py --training True --evaluation True

Results

result