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How does Twin AI's video-to-video feature achieve the AI split effect?

2025-08-29 1.6 K

AI split realization mechanism and technical details

Twin AI's video-to-video feature realizes the AI split effect through deep learning algorithms, and the whole process contains three key technical aspects:

  1. Facial Feature Extraction: The system analyzes facial features, expression changes and head movements in the uploaded video to create a digital 3D model
  2. Lip Synchronization Technology: The LSTM neural network is used to convert the input audio waveforms into corresponding mouth parameters, ensuring that each articulation has an accurately matched mouth movement
  3. Dynamic rendering engine: Combine facial modeling with new input audio/script to generate video streams with natural expression variations

Specifically, the user needs to:
1. Upload a clear facial video of at least 10 seconds (paid version supports longer footage)
2. System takes approximately 20 minutes to complete model training (subject to server load)
3. You can then generate countless "split" videos with different content by simply typing in a new script.
Notably, the feature supports multiple languages including Chinese and has good compatibility with facial features such as glasses and beards.

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