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.

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Image Generation

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

Training and Evaluation

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

Contact

For any queries, feel free to contact at vignesh.nitt10@gmail.com.