How can AI create works of art?

Creating art with artificial intelligence (AI) can be seen as a form of collaboration between humans and machines.

In this sense, there are several tools and techniques that allow artists to explore and expand their creativity through AI. Some of them are:

     Generative Adversarial Networks (GANs);
     Image style algorithms;
     Computer-aided design tools;
     Image classification systems;
     Art chatbots.

Generative Adversarial Networks (GANs)

One of the most used techniques for creating art with AI is the Generative Adversarial Network (GAN).

GANs consist of two neural networks – a generator and a discriminator – that work together to generate images that look like the training/reference images provided by the artist.

The generator network creates random images and sends them to the discriminator network, which distinguishes these images from real images.

Over time, the generating network adjusts its outputs to produce images that are increasingly closer to the training images,

This way, you can create a wide variety of images quickly and efficiently.
Image Style Algorithms

Image styling algorithms are another popular technique for creating AI art.

These algorithms allow artists to apply different image styles to a single image, creating unique and interesting visual effects.

Style algorithms work by combining two images – a content image and a style image – into a single output image.

The content image provides the overall structure, while the style image provides information about the stylistic characteristics you want to apply.