3D Human Pose Estimation

3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.

Papers

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Showing 501–510 of 665 papers

Title	Date	Tasks	Status
3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training	Apr 7, 2020	3D Human Pose EstimationMonocular 3D Human Pose Estimation	—Unverified
Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation	Apr 7, 2020	3D Human Pose EstimationDiversity	—Unverified
Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation	Apr 5, 2020	3D geometry3D Human Pose Estimation	—Unverified
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering	Mar 24, 2020	3D Human Pose Estimation3D Pose Estimation	—Unverified
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows	Mar 23, 2020	3D human pose and shape estimation3D Human Pose Estimation	—Unverified
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild	Mar 17, 2020	3D Human Pose EstimationMonocular 3D Human Pose Estimation	—Unverified
Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation	Feb 22, 2020	3D Human Pose EstimationAction Detection	CodeCode Available
3D Human Pose Estimation via Explicit Compositional Depth Maps	Feb 8, 2020	3D Human Pose EstimationPose Estimation	—Unverified
AnimePose: Multi-person 3D pose estimation and animation	Feb 6, 2020	3D Human Pose Estimation3D Multi-Person Pose Estimation	—Unverified
Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning	Jan 15, 2020	3D Human Pose Estimation3D Pose Estimation	—Unverified

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All datasets 3DPW MPI-INF-3DHP Human3.6M HumanEva-I H3WB Total Capture EMDB AGORA Panoptic Surreal 3D Poses in the Wild Challenge AIST++

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Simple-baseline	PA-MPJPE	157	—	Unverified
2	HMR	MPJPE	130	—	Unverified
3	BMP	MPVPE	119.3	—	Unverified
4	SPIN	MPVPE	116.4	—	Unverified
5	Wenshuo et a;.	MPVPE	112.6	—	Unverified
6	TCMR (T=16 w/o 3DPW)	MPVPE	111.5	—	Unverified
7	CHOMP	MPVPE	110.1	—	Unverified
8	PC-HMR	MPVPE	108.6	—	Unverified
9	3DCrowdNet	MPVPE	108.5	—	Unverified
10	SMPLify	PA-MPJPE	106.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VNect (Augm.)	MPJPE	124.7	—	Unverified
2	HMR	MPJPE	124.2	—	Unverified
3	Single-Shot Multi-Person	MPJPE	122.2	—	Unverified
4	Mehta	MPJPE	117.6	—	Unverified
5	PONet	MPJPE	115	—	Unverified
6	Pose Consensus (monocular)	MPJPE	112.1	—	Unverified
7	GeoRep (fully-supervised)	MPJPE	110.8	—	Unverified
8	XFormer (HRNet)	MPJPE	109.8	—	Unverified
9	EpipolarPose (fully-supervised)	MPJPE	108.99	—	Unverified
10	SPIN	MPJPE	105.2	—	Unverified