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 401–425 of 4228 papers

Title	Date	Tasks	Status	Hype
Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer	Mar 16, 2023	3D Human Pose Estimation3D Human Pose Tracking	CodeCode Available	1
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation	Apr 7, 2021	DescriptiveLiver Segmentation	CodeCode Available	1
EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream	Dec 11, 2020	3D Hand Pose EstimationHand Pose Estimation	CodeCode Available	1
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth Registration	Feb 28, 2025	Camera Pose EstimationOptical Flow Estimation	CodeCode Available	1
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild	Mar 24, 2021	3D Pose EstimationAnimal Pose Estimation	CodeCode Available	1
Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation	Apr 7, 2020	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	1
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints	Jul 29, 2020	Camera Pose EstimationPose Estimation	CodeCode Available	1
Extreme Two-View Geometry From Object Poses with Diffusion Models	Feb 5, 2024	Camera Pose EstimationObject	CodeCode Available	1
DeepHuman: 3D Human Reconstruction from a Single Image	Mar 15, 2019	3D Human ReconstructionDiversity	CodeCode Available	1
Deep High-Resolution Representation Learning for Human Pose Estimation	Feb 25, 2019	2D Human Pose Estimation2D Pose Estimation	CodeCode Available	1
Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views	Jan 14, 2019	3D Multi-Person Pose Estimation3D Pose Estimation	CodeCode Available	1
Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection	Jul 22, 2022	3D Human Pose Estimation3D Multi-Person Pose Estimation	CodeCode Available	1
FDCT: Fast Depth Completion for Transparent Objects	Jul 23, 2023	Autonomous DrivingDepth Completion	CodeCode Available	1
AP-10K: A Benchmark for Animal Pose Estimation in the Wild	Aug 28, 2021	Animal Pose EstimationDiversity	CodeCode Available	1
DeepIM: Deep Iterative Matching for 6D Pose Estimation	Mar 31, 2018	6D Pose Estimation6D Pose Estimation using RGB	CodeCode Available	1
RePoseD: Efficient Relative Pose Estimation With Known Depth Information	Jan 13, 2025	Camera Pose EstimationDepth Estimation	CodeCode Available	1
Deep Label Distribution Learning with Label Ambiguity	Nov 6, 2016	Age EstimationClassification	CodeCode Available	1
Focal Length and Object Pose Estimation via Render and Compare	Apr 11, 2022	ObjectPose Estimation	CodeCode Available	1
Deep Orientation Uncertainty Learning based on a Bingham Loss	May 1, 2020	Motion EstimationPose Estimation	CodeCode Available	1
FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions	Sep 10, 2023	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	1
Approximate Differentiable Rendering with Algebraic Surfaces	Jul 21, 2022	Pose Estimation	CodeCode Available	1
A Comprehensive Analysis of Deep Regression	Mar 22, 2018	Pose Estimationregression	CodeCode Available	1
AirDOS: Dynamic SLAM benefits from Articulated Objects	Sep 21, 2021	Camera Pose EstimationMotion Estimation	CodeCode Available	1
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers	Jun 12, 2024	Pose EstimationVisual Odometry	CodeCode Available	1
Deep Dual Consecutive Network for Human Pose Estimation	Mar 12, 2021	Keypoint DetectionMulti-Person Pose Estimation	CodeCode Available	1

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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