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Found 6 papers, 4 papers with code
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
Monocular 3D human pose and shape estimation is an ill-posed problem since multiple 3D solutions can explain a 2D image of a subject.
Ranked #68 on
3D Human Pose Estimation
on 3DPW
(MPJPE metric)
Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model
This paper addresses the problem of 3D human body shape and pose estimation from RGB images.
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild
Thus, it is desirable to estimate a distribution over 3D body shape and pose conditioned on the input image instead of a single 3D reconstruction.
Ranked #1 on
3D Human Shape Estimation
on SSP-3D
Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild
In contrast, we propose a new task: shape and pose estimation from a group of multiple images of a human subject, without constraints on subject pose, camera viewpoint or background conditions between images in the group.
Ranked #3 on
3D Human Shape Estimation
on SSP-3D
Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild
Thus, we propose STRAPS (Synthetic Training for Real Accurate Pose and Shape), a system that utilises proxy representations, such as silhouettes and 2D joints, as inputs to a shape and pose regression neural network, which is trained with synthetic training data (generated on-the-fly during training using the SMPL statistical body model) to overcome data scarcity.
Ranked #1 on
3D Human Shape Estimation
on MoVi
3D human pose and shape estimation
3D Human Shape Estimation
+3
Using Reinforcement Learning to Perform Qubit Routing in Quantum Compilers
"Qubit routing" refers to the task of modifying quantum circuits so that they satisfy the connectivity constraints of a target quantum computer.
Quantum Physics
