Image-to-Image Translation with Conditional Adversarial Networks
One of the homeworks as part of Deep Learning Course at Higher School of Economics. A detailed task description can be found here.
Experiments report can be found at docs folder
To install the package go to installing notes. All requirements can be found at setup.py
To install the package run the following command
pip install -e .
For experiments the following two datasets were used:
To run training modify config file accordingly and run
cd tools
python run_train.py
YAPF (0.22.0) is used for coding style validation
python3 -m yapf -rp . --in-place
- Pavel Fakanov - Wrote the code, run the experiments - whiteRa2bit
This project is licensed under the Apache License
- Inspired by pytorch-CycleGAN-and-pix2pix