GANs in Art

Generative Adversarial Networks (GANs) are a type of artificial intelligence that create new images or art by learning from existing ones. They consist of two parts: a generator, which produces images, and a discriminator, which evaluates them. The generator tries to create realistic art, while the discriminator assesses whether the images are genuine or fake. This competition helps both components improve, resulting in unique and often striking artwork. GANs have gained attention for their ability to generate original pieces, collaborate with artists, and even mimic specific styles, raising questions about creativity and authorship in the digital age.