Face Alignment
In short: Face alignment normalizes detected faces to a standard position, scale, and orientation, ensuring consistent input to lip sync models regardless of head pose or camera angle.
About Face Alignment
Face alignment transforms detected face crops into a canonical coordinate system where the eyes, nose, and mouth are at consistent positions. This normalization step is critical for lip sync models that expect faces in a standard format as input.
Alignment typically involves affine transformations based on detected landmark positions, correcting for head rotation, scale differences due to distance from camera, and translational offsets. After the lip sync model generates its output in the aligned space, an inverse transformation maps the result back to the original video coordinates for seamless compositing.
How Face Alignment Connects to Lip Sync
Face Alignment relates to several other concepts in the AI lip sync pipeline: Face Detection , and Face Landmark Detection .
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