Landmark Stabilization
In short: Landmark stabilization smooths the detected facial keypoints across video frames to reduce jitter and noise, producing more stable and natural-looking lip sync results.
About Landmark Stabilization
Raw facial landmark detection can produce slightly different keypoint positions from frame to frame even when the face is stationary, due to detection noise and small variations in the neural network output. This jitter propagates through the lip sync pipeline, potentially causing the generated mouth region to vibrate or shift unnaturally.
Landmark stabilization applies temporal filtering, such as Kalman filters or exponential moving averages, to smooth keypoint trajectories while preserving intentional movements like speaking and head turns. Effective stabilization balances responsiveness to real motion against suppression of detection noise.
How Landmark Stabilization Connects to Lip Sync
Landmark Stabilization relates to several other concepts in the AI lip sync pipeline: Face Landmark Detection , and Temporal Consistency .
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