Text-to-Video
Also known as: Video Generation, AI Video, T2V
AI systems that generate video content from text descriptions, representing a frontier in generative AI.
Text-to-video AI generates video content from written descriptions, extending generative AI from static images to motion.
Current Systems
- Sora (OpenAI): High-fidelity, longer clips
- Runway Gen-3: Creative and commercial use
- Pika: Consumer-focused generation
- Kling (Kuaishou): Chinese alternative
- Veo (Google): Research-stage model
Capabilities
- Generate scenes from descriptions
- Animate still images
- Extend existing clips
- Style transfer on video
- Character consistency across shots
Limitations
- Physics inconsistencies (hands, gravity)
- Temporal coherence (objects appearing/disappearing)
- Length constraints (seconds, not minutes)
- Compute-intensive generation
- Control precision
Implications
- Democratizes video production
- Threatens stock footage industry
- Raises deepfake concerns
- Transforms creative workflows
- Questions about copyright of outputs