Neural networks for image generation are algorithms designed to create new images by learning patterns from existing ones. These models are trained on large datasets of images and then generate new visual content that is highly similar, yet unique. Popular networks include Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).