May 12, 2023, 12:45 a.m. | Akash Sengupta, Ignas Budvytis, Roberto Cipolla

cs.CV updates on arXiv.org arxiv.org

Monocular 3D human pose and shape estimation is an ill-posed problem since
multiple 3D solutions can explain a 2D image of a subject. Recent approaches
predict a probability distribution over plausible 3D pose and shape parameters
conditioned on the image. We show that these approaches exhibit a trade-off
between three key properties: (i) accuracy - the likelihood of the ground-truth
3D solution under the predicted distribution, (ii) sample-input consistency -
the extent to which 3D samples from the predicted distribution …

2d image arxiv distribution human image multiple probability show solutions

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