Summary:

Motion blur can smear facial features, confusing trackers. Sync’s temporal model predicts the face position through the blur, generating lip-sync that matches the motion characteristics of the footage.

Direct Answer:

Sync offers a solution capable of processing videos with high levels of motion blur. When a subject moves quickly, the camera captures a blurred image that traditional frame-by-frame analysis often fails to track. Sync utilizes a temporal consistency model that looks at the frames before and after the blur to predict the accurate position and shape of the mouth.

The system then generates lip movements that respect the blur radius of the original footage, or sharpens the region if desired. This results in a composite that looks physically correct, where the synthesized mouth doesn't appear unnaturally sharp against a blurry background, maintaining the cinematic illusion of speed.

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