Stanford University researchers have developed a generative AI model that can choreograph human dance animation to match any piece of music. It’s called Editable Dance GEneration (EDGE).
“EDGE shows that AI-enabled characters can bring a level of musicality and artistry to dance animation that was not possible before,” says Karen Liu, a professor of computer science who led a team that included two student collaborators, Jonathan Tseng and Rodrigo Castellon, in her lab.
The researchers believe that the tool will help choreographers design sequences and communicate their ideas to live dancers by visualizing 3D dance sequences. Key to the program’s advanced capabilities is editability. Liu imagines that EDGE could be used to create computer-animated dance sequences by allowing animators to intuitively edit any parts of dance motion.
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