Text-to-Image Generation is a process where AI models translate descriptive text prompts into detailed visual images. Utilizing generative techniques like GANs or diffusion models, these systems interpret language to produce accurate and creative visual representations, enabling applications in art, design, and content creation, by bridging natural language understanding with image synthesis.