University of Minnesota computer science Ph.D. student Yasamin Jafarian has been using TikTok dance videos as food for a computer algorithm that uses the frame-by-frame data to construct lifelike 3D avatars of real people.
Jafarian needed a large dataset of videos to "train" the algorithm. TikTok dance videos — which often feature one person showing the full length of their body in multiple poses — provided the perfect solution. She used 340 videos in her dataset, each one 10-to-15 seconds long. At a video rate of 30 frames per second, she had amassed more than 100,000 images of people dancing.
So far, Jafarian has been able to successfully use her algorithm to generate a 3D avatar of a person from the front view. Her published paper on the subject, co-authored by Assistant Professor Hyun Soo Park, won a Best Paper Honorable Mention Award at the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
From University of Minnesota
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