CGAN with Jittor

This repo provides a Jittor implementation of Conditional GAN (CGAN). Refer to Jittor for more details about this framework.

File Structure

.
├── archive
├── data
├── log
├── CGAN.py
├── train.ipynb
└── README.md

• archive: contains the stable version of trained models.
• data: contains the saved model checkpoints.
• log: contains the picture logs during training.
• CGAN.py: the reference, provided by Jittor.
• train.ipynb: the main training script.