How does ‘AI art’ work?

How does ‘AI art’ work?

At a simplistic level, AI art is art generated with the assistance of artificial intelligence.

A GAN (generative adversarial network) is an algorithm that filters and cross-filters computer-generated art until it is an entirely original work.

Using a range of sophisticated neural networks and machine learning methods, GANs can train computers.

They do so by feeding computers an array of images—from basic ones like pictures of cats to breathtakingly complex masterpieces like Da Vinci’s Mona Lisa .

This selection of images is called the ‘training set’.

Two components work together to keep a GAN going—the generator and the discriminator.

First, the generator creates art closely resembling the original subject (chosen from a training set of audio/video/image files).

Next, the discriminator examines the generator’s art and lets the generator know if the art matches the original or not.

If there’s a match, the art goes through.

If not, the discriminator signals the same, and the generator tries to improve upon it.

This process continues until the final work of art replicates the original exceptionally well.