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20192024
most citedSynthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild

44 citations · 75 across the 6 of their papers we have counts for

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Showing 2023Show all

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cs.CV2023★ 1 cited

HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation

Akash Sengupta, Ignas Budvytis, Roberto Cipolla

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 distri…