2D Pose Estimation
38 papers with code • 7 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in 2D Pose Estimation
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Libraries
Use these libraries to find 2D Pose Estimation models and implementations
Human3.6M
300W
Animal Kingdom
MP-100
Desert Locust
Vinegar Fly
3D-POP
MacaquePose
Most implemented papers
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
ZheC/Realtime_Multi-Person_Pose_Estimation
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CVPR 2017
We present an approach to efficiently detect the 2D pose of multiple people in an image.
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
CMU-Perceptual-Computing-Lab/openpose
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OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Foundation models, now powering most of the exciting applications in deep learning, are almost universally based on the Transformer architecture and its core attention module.
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
xingyizhou/pose-hg-3d
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ICCV 2017
We propose a weakly-supervised transfer learning method that uses mixed 2D and 3D labels in a unified deep neutral network that presents two-stage cascaded structure.
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
DeLightCMU/PSA
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arXiv preprint 2021
Pixel-wise regression is probably the most common problem in fine-grained computer vision tasks, such as estimating keypoint heatmaps and segmentation masks.
Learning to Train with Synthetic Humans
DavHoffmann/LearningToTrainWithSyntheticHumans
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Here we explore two variations of synthetic data for this challenging problem; a dataset with purely synthetic humans and a real dataset augmented with synthetic humans.
Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions
ostadabbas/SLP-Dataset-and-Code
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Computer vision (CV) has achieved great success in interpreting semantic meanings from images, yet CV algorithms can be brittle for tasks with adverse vision conditions and the ones suffering from data/label pair limitation.
Rotation Equivariant Siamese Networks for Tracking
We further show that this change in orientation can be used to impose an additional motion constraint in Siamese tracking through imposing restriction on the change in orientation between two consecutive frames.
Single camera pose estimation using Bayesian filtering and Kinect motion priors
This model is combined with measurements of the human head and hand positions, using recursive Bayesian estimation to incorporate temporal information.
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
chuxiaoselena/SparsenessMeetsDeepness
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CVPR 2016
Here, two cases are considered: (i) the image locations of the human joints are provided and (ii) the image locations of joints are unknown.
