AI Can Transform Anyone Into a Professional Dancer - NVIDIA Developer News Center

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 like Bruno Mars. "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. Using NVIDIA TITAN Xp and GeForce GTX 1080 Ti GPUs, with the cuDNN-accelerated PyTorch deep learning framework for both training and inference, the team first trained their conditional generative adversarial network on video of amateur dancers performing a range of poses filmed at 120 frames per second.