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Found 4 papers, 1 papers with code
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation
We introduce MultiPhys, a method designed for recovering multi-person motion from monocular videos.
Single-view 3D Body and Cloth Reconstruction under Complex Poses
We, therefore, propose a coarse-to-fine approach in which we first learn an implicit function that maps the input image to a 3D body shape with a low level of detail, but which correctly fits the underlying human pose, despite its complexity.
Ranked #1 on
3D Reconstruction
on 3DPeople
Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation
For this purpose, we build a residual-like permutation-invariant network that successfully refines potentially corrupted initial 3D poses estimated by an off-the-shelf detector.
3D Multi-Person Pose Estimation (absolute)
3D Multi-Person Pose Estimation (root-relative)
+1
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
We address the problem of multi-person 3D body pose and shape estimation from a single image.
