generative-ai - Concepts

Explore concepts tagged with "generative-ai"

Total concepts: 6

Concepts

Text-to-Image - AI technology that generates images from natural language descriptions, translating words into visual content.
Generative Adversarial Network - A machine learning framework where two neural networks compete against each other — a generator creating synthetic data and a discriminator evaluating its authenticity — to produce increasingly realistic outputs.
Variational Autoencoder - A generative model that learns a structured, continuous latent space by combining autoencoder architecture with probabilistic inference, enabling generation of new data by sampling from the learned distribution.
Inpainting - An AI technique for filling in, replacing, or editing selected regions of an image while maintaining visual coherence with the surrounding content.
Agentic Image Generation - AI agents that autonomously plan, create, iterate on, and refine images through multi-step reasoning and tool use.
Diffusion Models - Generative AI models that learn to create data by progressively denoising random noise into coherent outputs.