Conditional Generative Adversarial Network

A conditional generative adversarial network (CGAN) is a type of GAN that also takes advantage of labels during the training process.
In this repository, I have implemented a baseline CGAN for artificially generated pixel differentiated images.

Image Generation

Change the file directory paths to your needs.
Run the Image_Generation.ipynb file

Training and Evaluation

Change the file directory paths to your needs.
Run the CGAN.ipynb file to train the model

Contact

For any queries, feel free to contact at [email protected].