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Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery
[article]
2022
arXiv
pre-print
The ability to perceive 3D human bodies from a single image has a multitude of applications ranging from entertainment and robotics to neuroscience and healthcare. A fundamental challenge in human mesh recovery is in collecting the ground truth 3D mesh targets required for training, which requires burdensome motion capturing systems and is often limited to indoor laboratories. As a result, while progress is made on benchmark datasets collected in these restrictive settings, models fail to
arXiv:2206.10457v2
fatcat:gswb6ayeufd5fitlohcertdr6y