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

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Showing 3701–3750 of 4228 papers

Title	Date	Tasks	Status
Accurate Pose Estimation for Flight Platforms based on Divergent Multi-Aperture Imaging System	Feb 27, 2025	ARCAutonomous Navigation	—Unverified
STGFormer: Spatio-Temporal GraphFormer for 3D Human Pose Estimation in Video	Jul 14, 2024	3D Human Pose EstimationPose Estimation	—Unverified
Accurate Localization and Pose Estimation for Large 3D Models	Jun 1, 2014	Camera Pose EstimationPose Estimation	—Unverified
Generalizable Human Pose Triangulation	Oct 1, 2021	3D Human Pose Estimation3D Pose Estimation	—Unverified
When Dance Video Archives Challenge Computer Vision	May 12, 2025	ArticlesPose Estimation	—Unverified
Strengths and Weaknesses of 3D Pose Estimation and Inertial Motion Capture System for Movement Therapy	Jun 1, 2023	3D Pose EstimationPose Estimation	—Unverified
Str-L Pose: Integrating Point and Structured Line for Relative Pose Estimation in Dual-Graph	Aug 28, 2024	Autonomous DrivingGraph Neural Network	—Unverified
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image	Dec 26, 2018	Hand Pose EstimationPose Estimation	—Unverified
Structure-Aware Correspondence Learning for Relative Pose Estimation	Mar 24, 2025	Image ReconstructionPose Estimation	—Unverified
BGM2Pose: Active 3D Human Pose Estimation with Non-Stationary Sounds	Mar 1, 2025	3D Human Pose EstimationContrastive Learning	—Unverified
Structured Determinantal Point Processes	Dec 1, 2010	DiversityPoint Processes	—Unverified
Structured Feature Learning for Pose Estimation	Mar 30, 2016	Pose Estimation	—Unverified
Structured Prediction of 3D Human Pose with Deep Neural Networks	May 17, 2016	3D Human Pose Estimation3D Pose Estimation	—Unverified
Accurate and Robust Object-oriented SLAM with 3D Quadric Landmark Construction in Outdoor Environment	Oct 18, 2021	Autonomous DrivingObject	—Unverified
Training on the Fly: On-device Self-supervised Learning aboard Nano-drones within 20 mW	Aug 6, 2024	Pose EstimationSelf-Supervised Learning	—Unverified
Accurate and efficient zero-shot 6D pose estimation with frozen foundation models	Jun 11, 2025	6D Pose EstimationInstance Segmentation	—Unverified
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation	May 16, 2018	Multi-Task LearningObject Recognition	—Unverified
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction	Oct 23, 2019	6D Pose Estimation using RGBObject	—Unverified
Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter	Apr 16, 2019	DiversityPose Estimation	—Unverified
When Vehicles See Pedestrians with Phones:A Multi-Cue Framework for Recognizing Phone-based Activities of Pedestrians	Jan 24, 2018	Activity RecognitionDecision Making	—Unverified
Accidental Turntables: Learning 3D Pose by Watching Objects Turn	Dec 13, 2022	3D Pose EstimationPose Estimation	—Unverified
Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction	Oct 24, 2024	Novel View SynthesisPose Estimation	—Unverified
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation	Oct 3, 2018	Depth EstimationDepth Prediction	—Unverified
SuperGF: Unifying Local and Global Features for Visual Localization	Dec 23, 2022	Camera Pose EstimationComputational Efficiency	—Unverified
Accelerating Large-Kernel Convolution Using Summed-Area Tables	Jun 26, 2019	Pose Estimation	—Unverified
SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching	Dec 10, 2019	Domain AdaptationPose Estimation	—Unverified
Can Super Resolution be used to improve Human Pose Estimation in Low Resolution Scenarios?	Jul 5, 2021	Keypoint DetectionPose Estimation	—Unverified
SUPER: Seated Upper Body Pose Estimation using mmWave Radars	Jul 2, 2024	Pose Estimation	—Unverified
Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision	May 3, 2014	3D Pose EstimationCamera Calibration	—Unverified
Supervised Descriptor Learning for Multi-Output Regression	Jun 1, 2015	Head Pose EstimationPose Estimation	—Unverified
SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings	Nov 26, 2021	6D Pose EstimationDecoder	—Unverified
SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network	Oct 2, 2024	3D Pose EstimationMixed Reality	—Unverified
SurgPose: a Dataset for Articulated Robotic Surgical Tool Pose Estimation and Tracking	Feb 17, 2025	Pose EstimationStereo Matching	—Unverified
SurgRIPE challenge: Benchmark of Surgical Robot Instrument Pose Estimation	Jan 6, 2025	Pose Estimation	—Unverified
SurGSplat: Progressive Geometry-Constrained Gaussian Splatting for Surgical Scene Reconstruction	Jun 6, 2025	3DGS3D Reconstruction	—Unverified
Survey of 3D Human Body Pose and Shape Estimation Methods for Contemporary Dance Applications	Jan 4, 2024	Pose Estimation	—Unverified
Accelerating Globally Optimal Consensus Maximization in Geometric Vision	Apr 11, 2023	Camera Pose EstimationPose Estimation	—Unverified
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark	Jan 10, 2020	Instance Segmentationobject-detection	—Unverified
SVMAC: Unsupervised 3D Human Pose Estimation from a Single Image with Single-view-multi-angle Consistency	Jun 10, 2021	3D Human Pose EstimationMonocular 3D Human Pose Estimation	—Unverified
SwimXYZ: A large-scale dataset of synthetic swimming motions and videos	Oct 6, 2023	2D Pose EstimationPose Estimation	—Unverified
Swin-Pose: Swin Transformer Based Human Pose Estimation	Jan 19, 2022	Pose Estimation	—Unverified
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation	Jul 31, 2021	2D Pose EstimationAnimal Pose Estimation	—Unverified
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation	Sep 1, 2018	Multi-Person Pose EstimationPose Estimation	—Unverified
Accelerating AI and Computer Vision for Satellite Pose Estimation on the Intel Myriad X Embedded SoC	Sep 19, 2024	DiversityPose Estimation	—Unverified
Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of Many Parts in Bulk	Jun 21, 2018	3D Object DetectionObject	—Unverified
Synchronizing Probability Measures on Rotations via Optimal Transport	Apr 1, 2020	Pose Estimation	—Unverified
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers	Nov 27, 2024	Camera Pose EstimationPose Estimation	—Unverified
Synthesizing Training Images for Boosting Human 3D Pose Estimation	Apr 10, 2016	2D Pose Estimation3D Pose Estimation	—Unverified
Synthetica: Large Scale Synthetic Data for Robot Perception	Oct 28, 2024	Data Augmentationobject-detection	—Unverified
Absolute Pose Estimation from Line Correspondences using Direct Linear Transformation	Aug 24, 2016	Camera Pose EstimationPose Estimation	—Unverified

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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