2D Pose Estimation

39 papers with code • 7 benchmarks • 8 datasets

This task has no description! Would you like to contribute one?


Use these libraries to find 2D Pose Estimation models and implementations

Most implemented papers

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

ZheC/Realtime_Multi-Person_Pose_Estimation 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 18 Dec 2018

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

state-spaces/mamba 1 Dec 2023

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 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 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 2 Aug 2019

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 20 Aug 2020

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

dkgupta90/re-siamnet CVPR 2021

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

mgb45/mkfbodytracker_pdaf 20 May 2014

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 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.