Artificial Intelligence in Generative Adversarial Networks (GANs) for Image Generations


GANs are one of the most prominent types of neural networks and hold significant importance in the progress of AI, with a particular focus on image synthesis. Since introducing GANs in a paper in 2014, they have shown prowess in generating sharp, realistic, fake images that could easily be mistaken for real photos. The capability of creating realistic imagery has also created interest in the possibility of using them and misusing them.



How Do GANs Work?



They operate in a way that two neural networks are trained – a generator network that generates artificial outputs such as images…