Artiq Text AI

Types of Neural Networks Used for Image Generation

• Generative Adversarial Networks (GANs): A two-part model consisting of a generator and a discriminator, where the generator creates images and the discriminator evaluates their quality.
• Variational Autoencoders (VAEs): A model that encodes an image into a compact representation and then decodes it back to generate new images based on latent space representations.
• Deep Convolutional Networks (CNNs): Used in image recognition tasks, CNNs can also be used in the generation of highly detailed and realistic images.