Video generation uses AI models to create or transform sequences of visual frames, often with motion and sometimes audio.
Video generation is the use of AI models to create or transform moving visual content.
Inputs can include text, images, video, motion references, or other conditions. A useful result must model appearance, motion, and consistency across time.
Think of it like creating a moving storyboard where each moment must look good and stay consistent with what came before.
The system turns conditions into a time-aware visual representation, then renders and decodes a sequence of frames.
Input: A scene description
Output: A short moving clip
Input: A still image
Output: An animated version of the scene
Input: A brief, storyboard, or motion reference
Output: A draft clip for communication or planning
Video Generation: Models consistency across time.
Independent images: Each image can change without matching the previous one.
Video Generation: Creates or transforms visual sequences with a generative model.
Video Editing: Arranges or changes existing footage.
Video Generation: A capability or task.
Model architecture: One possible design used to build that capability.
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Video generation creates moving visual content while modeling both appearance and change over time.
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