Text-to-Video Generation
AI systems that generate video content from natural language descriptions.
Overview
Text-to-video generation extends text-to-image capabilities to produce coherent video sequences from text prompts. Models like Sora (OpenAI), Runway Gen-3, and Kling generate temporally consistent video clips with motion, camera movement, and physics-aware scene understanding.
Key Details
The technical challenge is maintaining spatial and temporal coherence across frames while following the prompt. Approaches include diffusion transformers operating in latent space, autoregressive video generation, and image-to-video animation. This technology is transforming filmmaking, advertising, and content creation, though challenges remain in generating long, consistent videos.