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AI-based frame interpolation algorithm works by studying two consecutive frames of footage and calculating an intermediary frame to place between them. The algorithm is powered by a model trained at length on many images, in order to learn how to create convincing transition frames. These extra frames can either be used for higher frame rate playback, or to create a non-jerky slow-motion effect that the original footage does not otherwise support. The process is repeated across the footage until the number of frames is doubled, tripled or even quadrupled as necessary.