CanonSwap's Revolutionary Solution
CanonSwap solves the long-standing problem of dynamic attribute destruction in video face-swapping through an innovative "normative space" technology framework. This technology separates facial appearance information from motion information (including expression, head movement, and mouth synchronization), allowing face replacement to preserve the natural dynamics of the original video.
For specific implementation, CanonSwap adopts a four-stage processing flow: firstly, converting video frames to a standardized normative space; modifying only the appearance information in the normative space while keeping the motion characteristics unchanged; accurately controlling the modification region through Local Identity Modulation (PIM); and finally bringing the image back to the original space to restore the motion performance. This unique method can significantly improve the timing consistency index above 50% compared with traditional face-switching techniques, and avoid the picture flickering problem above 90%.
This answer comes from the articleCanonSwap: A tool for realizing high-fidelity face-swapping in videoThe
