It is now possible to create pictures of things that are not actually present by using artificial intelligence. One of the popular method for this is through a technique called Generative Adversarial Networks (GANs).
GANs involve training two networks, one generator network and one discriminator network, to work together to create new images. The generator network is trained to generate new images that are similar to a set of training images, while the discriminator network is trained to distinguish between real and fake images.
Over the time, the generator network becomes better at creating new images that are increasingly difficult for the discriminator network to differentiate from real images. This process can be used to create realistic images of things that don't actually exist, such as imaginary creatures or futuristic environments.
GANs have been used in various fields, including art, fashion, and gaming, to create new and unique images that would be difficult to produce using traditional methods.
In current era, Artificial Intelligence Tools are getting more importance in the field of technology.