Think of it as style transfer for dancing, a deep learning based algorithm that can convincingly show a real person mirroring the moves of their favorite dancers.
The work, developed by a team of researchers from the University of California Berkeley, allows anyone to portray themselves as a world-class ballerina or a pop superstar.
“With our framework, we create a variety of videos, enabling untrained amateurs to spin and twirl like ballerinas, perform martial arts kicks or dance as vibrantly as pop stars,” the researchers stated in their paper. “Using pose detections as an intermediate representation between source and target, we learn a mapping from pose images to a target subject’s appearance,” the team explained.
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