GAN painting

Generative Adversarial Networks (GANs) are a type of artificial intelligence that can create images resembling artwork or photographs. They work through a process where two neural networks compete: one generates images, while the other evaluates their realism. Over time, the generator improves its output to fool the evaluator, resulting in highly convincing, unique paintings. Essentially, GAN painting involves AI models learning artistic styles and generating new, original images that mimic those styles, enabling the creation of art without direct human painting.