How does motion generation work in AI video tools like Runway?

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How does motion generation work in AI video tools like Runway?

Asked on Nov 21, 2025

Answer

AI video tools like Runway use motion generation to create dynamic and realistic animations by analyzing video frames and applying AI models that predict motion paths and transformations. These tools often leverage machine learning algorithms to interpolate between frames, creating smooth transitions and realistic movements.

Example Concept: Motion generation in AI video tools involves using neural networks to analyze existing video frames and generate intermediate frames that simulate natural movement. This process typically includes motion prediction, interpolation, and transformation techniques to ensure fluid and coherent animations. By understanding the spatial and temporal patterns in video data, AI models can create seamless motion effects that enhance the visual storytelling of a video.

Additional Comment:

Runway's motion generation features are often found in the video editing or animation sections of the platform.
These tools can be used for tasks like frame interpolation, slow-motion effects, and animating static images.
Understanding the underlying AI models, such as GANs or RNNs, can help in optimizing motion generation results.

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