In this project, we will apply the CGAN approach for ground truth segmentation operation of satellite images with OpenCV and Tensorflow.

Face Designing software that uses GAN architecture to generate and morph realistic faces by facial features

Generating different facial expressions.It uses diferent types of Generative Adversarial Network to generate the required outputs.

Generating cat images from sketches using a conditional generative adversarial network (pix2pix) in TensorFlow

Generative Adversarial Network Implementations in Keras

Conditional Generative Adversarial Network deployed to predict how satellite images will look like in 10 years based on the changes they have undergone in the last 10 years.