BEDLAM
Introduced by Black et al. in BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
BEDLAM is a large-scale synthetic video dataset designed to train and test algorithms on the task of 3D human pose and shape estimation (HPS). It contains diverse body shapes, skin tones, and motions. The clothing is realistically simulated on the moving bodies using commercial clothing physics simulation.
Papers
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