Definition
Text-to-video is the process of generating moving video sequences from natural language prompts using AI models.
Purpose
The purpose is to automate video creation for entertainment, advertising, and education.
Importance
- Reduces cost of video production.
- Raises ethical and copyright concerns.
- Early-stage compared to text-to-image.
- Computationally demanding.
How It Works
- Train on paired text-video datasets.
- Encode prompts into embeddings.
- Generate frame sequences using diffusion or GANs.
- Smooth motion with temporal consistency models.
- Render final video.
Examples (Real World)
- Runway Gen-2: generates short videos from prompts.
- Pika Labs: AI text-to-video generation startup.
- Google Imagen Video: research system for high-resolution video synthesis.
References / Further Reading
- Ho et al. “Imagen Video: High Definition Text-to-Video Generation.” Google Research.
- Runway Gen-2 Documentation.
- IEEE Transactions on Multimedia: Generative Video Research.