3DPW

Introduced by Marcard et al. in Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera

The 3D Poses in the Wild dataset is the first dataset in the wild with accurate 3D poses for evaluation. While other datasets outdoors exist, they are all restricted to a small recording volume. 3DPW is the first one that includes video footage taken from a moving phone camera.

The dataset includes:

60 video sequences.
2D pose annotations.
3D poses obtained with the method introduced in the paper.
Camera poses for every frame in the sequences.
3D body scans and 3D people models (re-poseable and re-shapeable). Each sequence contains its corresponding models.
18 3D models in different clothing variations.

Source: https://virtualhumans.mpi

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Benchmarks

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Task	Dataset Variant	Best Model
3D Human Pose Estimation	3DPW	WHAM-B
Human Pose Forecasting	3DPW	STS-GCN
Pose Estimation	3DPW	HybridCap
Hand Pose Estimation	3DPW	Hand4Whole
Cross-domain 3D Human Pose Estimation	3DPW	PoseDA