AI uses something called GANs to create art. GANs are like two teams in a game. One team makes new pictures, and the other team decides if they look real or not.
AI can take the style of one picture, like a painting by an artist, and put it on another picture. This makes a new artwork that mixes the style of the artist with a different image.
VAEs help AI learn from lots of pictures. They can make new pictures that look like the ones they learned from, sometimes making weird or cool art.
RNNs are good at following a pattern over time, like in stories or music. They can also make art by learning patterns and making new pictures or designs.
AI can also use something like evolution to make art. It tries lots of different ideas, keeps the best ones, and changes them to make even better art.
It uses AI to make pictures look strange and dream-like. It finds patterns in pictures and makes them look more interesting and surreal.
Pix2Pix changes drawings into real-looking pictures. It takes a simple drawing and turns it into a detailed and colorful artwork, like magic!
Neural networks mix the style of one picture with the content of another. This makes new and beautiful artworks that blend different ideas and styles.
BigGAN is really good at making big and detailed pictures. It uses lots of data to create realistic and amazing artworks that look almost like real photos.