Pose Estimation

Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.

A common benchmark for this task is MPII Human Pose

( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1401–1450 of 4228 papers

Title	Date	Tasks	Status	Score
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation	Dec 11, 2023	3D Human Pose EstimationMonocular 3D Human Pose Estimation	CodeCode Available	5
Embedding Pose Information for Multiview Vehicle Model Recognition	Feb 11, 2022	Classificationmodel	CodeCode Available	5
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image	Jan 1, 2017	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	5
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking	May 7, 2019	Object TrackingPose Estimation	CodeCode Available	5
Level-Set Parameters: Novel Representation for 3D Shape Analysis	Dec 18, 2024	6D Pose Estimation using RGBPose Estimation	CodeCode Available	5
EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of Images	Jun 25, 2019	Camera Pose EstimationPose Estimation	CodeCode Available	5
eKalibr: Dynamic Intrinsic Calibration for Event Cameras From First Principles of Events	Jan 10, 2025	Pose Estimation	CodeCode Available	5
Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry	Dec 22, 2024	Optical Flow EstimationPose Estimation	CodeCode Available	5
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain	Oct 1, 2018	Point Cloud SegmentationPose Estimation	CodeCode Available	5
3D human pose estimation from depth maps using a deep combination of poses	Jul 14, 2018	3D Human Pose EstimationPose Estimation	CodeCode Available	5
Learning to Train with Synthetic Humans	Aug 2, 2019	2D Pose EstimationPose Estimation	CodeCode Available	5
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module	Jan 15, 2025	Autonomous DrivingPose Estimation	CodeCode Available	5
Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation	Oct 10, 2018	Pose EstimationSemantic Segmentation	CodeCode Available	5
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization	Sep 4, 2018	Pose EstimationVisual Localization	CodeCode Available	5
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation	Nov 17, 2016	3D Human Pose EstimationMonocular 3D Human Pose Estimation	CodeCode Available	5
Ego-Pose Estimation and Forecasting as Real-Time PD Control	Jun 7, 2019	Egocentric Pose EstimationHuman Pose Forecasting	CodeCode Available	5
EgoHumans: An Egocentric 3D Multi-Human Benchmark	May 25, 2023	3D Pose EstimationHuman Detection	CodeCode Available	5
Exploiting temporal information for 3D human pose estimation	Sep 1, 2018	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	5
Learning to Estimate Pose by Watching Videos	Apr 13, 2017	Action RecognitionPose Estimation	CodeCode Available	5
Learning to Estimate 3D Hand Pose from Single RGB Images	May 3, 2017	3D Hand Pose EstimationHand Pose Estimation	CodeCode Available	5
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023	Jun 29, 2023	Camera Pose EstimationObject	CodeCode Available	5
Learning Temporal 3D Human Pose Estimation with Pseudo-Labels	Oct 14, 2021	3D Human Pose EstimationPose Estimation	CodeCode Available	5
BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach	Sep 23, 2024	Pose Estimation	CodeCode Available	5
Learning Temporal Pose Estimation from Sparsely-Labeled Videos	Jun 6, 2019	Multi-Person Pose EstimationOptical Flow Estimation	CodeCode Available	5
Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems Approach	Dec 20, 2023	Autonomous NavigationCausal Inference	CodeCode Available	5
A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images	May 8, 2018	3D Pose EstimationAutonomous Driving	CodeCode Available	5
Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping	Apr 6, 2021	ClusteringGraph Neural Network	CodeCode Available	5
Ego3DPose: Capturing 3D Cues from Binocular Egocentric Views	Sep 21, 2023	Egocentric Pose EstimationPose Estimation	CodeCode Available	5
Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation	Jun 6, 2022	Pose Estimation	CodeCode Available	5
MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation	Dec 6, 2020	3D Hand Pose EstimationHand Pose Estimation	CodeCode Available	5
Kinematics Modeling Network for Video-based Human Pose Estimation	Jul 22, 2022	Optical Flow EstimationPose Estimation	CodeCode Available	5
Learning from Synthetic Humans	Jan 5, 2017	2D Human Pose Estimation3D Human Pose Estimation	CodeCode Available	5
Learning Human Pose Estimation Features with Convolutional Networks	Dec 27, 2013	Object RecognitionPose Estimation	CodeCode Available	5
Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning	Nov 6, 2023	2D Human Pose EstimationPose Estimation	CodeCode Available	5
Learning Feature Pyramids for Human Pose Estimation	Aug 3, 2017	Pose Estimation	CodeCode Available	5
Extreme Relative Pose Network under Hybrid Representations	Dec 25, 2019	Pose EstimationTranslation	CodeCode Available	5
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization	Jun 28, 2021	BenchmarkingDeep Learning	CodeCode Available	5
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation	Aug 27, 2019	2D Human Pose EstimationMulti-Person Pose Estimation	CodeCode Available	5
Learning Better Keypoints for Multi-Object 6DoF Pose Estimation	Aug 15, 2023	AllObject	CodeCode Available	5
Learning Articulated Motions From Visual Demonstration	Feb 5, 2015	Motion SegmentationObject	CodeCode Available	5
Learning 3D Human Pose from Structure and Motion	Nov 25, 2017	3D Human Pose EstimationMonocular 3D Human Pose Estimation	CodeCode Available	5
Learning Orientation Distributions for Object Pose Estimation	Jul 2, 2020	ObjectPose Estimation	CodeCode Available	5
BoPR: Body-aware Part Regressor for Human Shape and Pose Estimation	Mar 21, 2023	3D Human Pose EstimationOcclusion Handling	CodeCode Available	5
Efficiently Creating 3D Training Data for Fine Hand Pose Estimation	May 11, 2016	Hand Pose EstimationPose Estimation	CodeCode Available	5
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes	Jul 15, 2017	3D ReconstructionObject	CodeCode Available	5
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving	Feb 15, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	5
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation	Dec 1, 2019	6D Pose Estimation6D Pose Estimation using RGB	CodeCode Available	5
Efficient Human Pose Estimation: Leveraging Advanced Techniques with MediaPipe	Jun 21, 2024	Computational EfficiencyPose Estimation	CodeCode Available	5
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation	May 5, 2017	Pose Estimation	CodeCode Available	5
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects	Dec 5, 2019	3D Pose EstimationKeypoint Estimation	CodeCode Available	5

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All datasets COCO test-dev MPII Human Pose OCHuman Leeds Sports Poses CrowdPose COCO val2017 AIC COCO (Common Objects in Context)InLoc ITOP front-view J-HMDB MPII Single Person

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	yolopose	AP50	90.3	—	Unverified
2	ViTPose (ViTAE-G, ensemble)	AP	81.1	—	Unverified
3	ViTPose (ViTAE-G)	AP	80.9	—	Unverified
4	PoseBH-H	AP	79.5	—	Unverified
5	UDP-Pose-PSA(384x288)	AP	79.5	—	Unverified
6	4xRSN-50 (ensemble)	AP	79.2	—	Unverified
7	UDP-Pose-PSA(256x192)	AP	78.9	—	Unverified
8	CCM+	AP	78.9	—	Unverified
9	4xRSN-50	AP	78.6	—	Unverified
10	PCT (256x256)	AP	78.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PCT (swin-l, test set)	PCKh-0.5	94.3	—	Unverified
2	Soft-gated Skip Connections	PCKh-0.5	94.1	—	Unverified
3	Cascade Feature Aggregation	PCKh-0.5	93.9	—	Unverified
4	PCT (swin-b, test set)	PCKh-0.5	93.8	—	Unverified
5	TransPose	PCKh-0.5	93.5	—	Unverified
6	UniHCP (FT)	PCKh-0.5	93.2	—	Unverified
7	4xRSN-50	PCKh-0.5	93	—	Unverified
8	UniPose	PCKh-0.5	92.7	—	Unverified
9	MSPN	PCKh-0.5	92.6	—	Unverified
10	Spatial Context	PCKh-0.5	92.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViTPose (ViTAE-G, GT bounding boxes)	Test AP	93.3	—	Unverified
2	UniHCP (direct eval)	Test AP	87.4	—	Unverified
3	PoseBH-H	Test AP	87	—	Unverified
4	RTMPose(RTMPose-l, GT bounding boxes)	Test AP	80.3	—	Unverified
5	TransPose-H	Validation AP	62.3	—	Unverified
6	BBox-Mask-Pose 2x	Test AP	48.3	—	Unverified
7	BUCTD (CID-W32)	Test AP	47.2	—	Unverified
8	HQNet (ViT-L)	Test AP	45.6	—	Unverified
9	MaskPose-b	Test AP	45	—	Unverified
10	CID (HRNet-W48)	Test AP	45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OmniPose	PCK	99.5	—	Unverified
2	Soft-gated Skip Connections	PCK	94.8	—	Unverified
3	Residual Hourglass + ASR + AHO	PCK	94.5	—	Unverified
4	UniPose	PCK	94.5	—	Unverified
5	Chou et al. arXiv'17	PCK	94	—	Unverified
6	Pyramid Residual Modules (PRMs)	PCK	93.9	—	Unverified
7	Stacked hourglass + Inception-resnet	PCK	93.9	—	Unverified
8	Multi-Context Attention	PCK	92.6	—	Unverified
9	FPD	PCK	90.8	—	Unverified
10	Part heatmap regression (ResNet-152)	PCK	90.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BUCTD-W48 (w/cond. input from PETR, and generative sampling)	AP	78.5	—	Unverified
2	ViTPose-G	AP	78.3	—	Unverified
3	BUCTD-W48 (w/cond. input from PETR)	AP	76.7	—	Unverified
4	SwinV2-L 1K-MIM	AP	75.5	—	Unverified
5	SwinV2-B 1K-MIM	AP	74.9	—	Unverified
6	BUCTD-W48	AP	72.9	—	Unverified
7	OpenPifPaf	AP	70.5	—	Unverified
8	MIPNet (HRNet-W48)	AP	70	—	Unverified
9	KAPAO-L	AP	68.9	—	Unverified
10	KAPAO-M	AP	67.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CCNet (ViTPose-B_GT-bbox_256x192)	AP	78.1	—	Unverified
2	MogaNet-B (384x288)	AP	77.3	—	Unverified
3	ViTPose-B (Single-task_GT-bbox_256x192)	AP	77.3	—	Unverified
4	MogaNet-S (384x288)	AP	76.4	—	Unverified
5	Bias (HRNet_256x192)	AP	75.8	—	Unverified
6	ViTPose-B (Single-task_Det-bbox_256x192)	AP	75.8	—	Unverified
7	HRNet (256x192)	AP	75.3	—	Unverified
8	MogaNet-S (256x192)	AP	74.9	—	Unverified
9	MogaNet-T (256x192)	AP	73.2	—	Unverified
10	RLE (256x192)	AP	71.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hulk(Finetune, ViT-L)	AP	37.1	—	Unverified
2	Hulk(Finetune, ViT-B)	AP	35.6	—	Unverified
3	HRFormer (HRFomer-B)	AP	34.4	—	Unverified
4	UniHCP (finetune)	AP	33.6	—	Unverified
5	HRNet (HRNet-w48 )	AP	33.5	—	Unverified
6	HRNet (HRNet-w32)	AP	32.3	—	Unverified
7	HRFormer (HRFomer-S)	AP	31.6	—	Unverified
8	SimpleBaseline (ResNet-152)	AP	29.9	—	Unverified
9	SimpleBaseline (ResNet-101)	AP	29.4	—	Unverified
10	SimpleBaseline (ResNet-50)	AP	28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BUCTD (PETR, with generative sampling)	APL	83.7	—	Unverified
2	OmniPose (WASPv2)	AP	79.5	—	Unverified
3	MetaPrompt-SD	AP	79	—	Unverified
4	Hulk(Finetune, ViT-L)	AP	78.7	—	Unverified
5	BUCTD (PETR, with generative sampling)	AP	77.8	—	Unverified
6	Hulk(Finetune, ViT-B)	AP	77.5	—	Unverified
7	I²R-Net (1st stage:HRFormer-B)	AP	77.3	—	Unverified
8	PATH (Partial FT)	AP	77.1	—	Unverified
9	SOLIDER (swin-B)	AP	76.6	—	Unverified
10	PEFORMER-Xcit-dino-p8	AP	72.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GIM-DKM	DUC1-Acc@0.25m,10°	57.1	—	Unverified
2	GIM-LoFTR	DUC1-Acc@0.25m,10°	54.5	—	Unverified
3	GIM-SuperGlue	DUC1-Acc@0.25m,10°	53.5	—	Unverified
4	DKM	DUC1-Acc@0.25m,10°	51.5	—	Unverified
5	SuperGlue	DUC1-Acc@0.25m,10°	49	—	Unverified
6	LoFTR	DUC1-Acc@0.25m,10°	47.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AdaPose	Mean mAP	93.38	—	Unverified
2	DECA-D3	Mean mAP	88.75	—	Unverified
3	V2V-PoseNet	Mean mAP	88.74	—	Unverified
4	A2J	Mean mAP	88	—	Unverified
5	REN	Mean mAP	84.9	—	Unverified
6	Multi-task learning + viewpoint invariance	Mean mAP	77.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SimpleBaseline + HANet	Mean PCK@0.2	99.6	—	Unverified
2	DeciWatch	Mean PCK@0.2	99	—	Unverified
3	LSTM PM	Mean PCK@0.2	93.6	—	Unverified
4	CPM	Mean PCK@0.2	91.9	—	Unverified
5	UniTrack_i18	Mean PCK@0.2	80.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	4xRSN-50	PCKh@0.5	93	—	Unverified
2	Refine	PCKh@0.5	92.1	—	Unverified
3	EfficientPose IV	PCKh@0.5	91.2	—	Unverified
4	OpenPose	PCKh@0.5	88.8	—	Unverified
5	Adversarial Learning	PCKh@0.5	88.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OmniPose	Mean PCK@0.2	99.4	—	Unverified
2	UniPose-LSTM	Mean PCK@0.2	99.3	—	Unverified
3	LSTM PM	Mean PCK@0.2	97.7	—	Unverified
4	Thin-Slicing	Mean PCK@0.2	96.5	—	Unverified
5	Iqbal et al.	Mean PCK@0.2	81.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DP-RCNN-DeepLab (ResNet-101)	AP	68	—	Unverified