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 151–160 of 665 papers

Title	Date	Tasks	Status	Hype	Score
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation	Mar 24, 2022	3D Human Pose EstimationPose Estimation	CodeCode Available	1	5
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction	Mar 17, 2020	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	1	5
Deep Learning-Based Human Pose Estimation: A Survey	Dec 24, 2020	2D Human Pose Estimation3D Human Pose Estimation	CodeCode Available	1	5
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation	May 11, 2023	3D human pose and shape estimation3D Human Pose Estimation	CodeCode Available	1	5
3D Human Pose Estimation with Spatial and Temporal Transformers	Mar 18, 2021	3D Human Pose Estimationimage-classification	CodeCode Available	1	5
EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation	Mar 26, 2024	3D Human Pose EstimationEgocentric Pose Estimation	CodeCode Available	1	5
Deep Reinforcement Learning for Active Human Pose Estimation	Jan 7, 2020	3D Human Pose EstimationDeep Reinforcement Learning	CodeCode Available	1	5
EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic Trackers	Jan 1, 2021	3D Human Pose EstimationPose Estimation	CodeCode Available	1	5
3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention	Jan 1, 2023	3D Human Pose EstimationPose Estimation	CodeCode Available	1	5
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers	Jul 27, 2022	3D Hand Pose Estimation3D Human Pose Estimation	CodeCode Available	1	5

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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