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Multi-Person Pose Estimation

30 papers with code · Computer Vision
Subtask of Pose Estimation

Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.

( Image credit: Human Pose Estimation with TensorFlow )

Benchmarks

Greatest papers with code

RMPE: Regional Multi-person Pose Estimation

ICCV 2017 MVIG-SJTU/AlphaPose

In this paper, we propose a novel regional multi-person pose estimation (RMPE) framework to facilitate pose estimation in the presence of inaccurate human bounding boxes.

HUMAN DETECTION MULTI-PERSON POSE ESTIMATION

Deep High-Resolution Representation Learning for Human Pose Estimation

CVPR 2019 leoxiaobin/deep-high-resolution-net.pytorch

We start from a high-resolution subnetwork as the first stage, gradually add high-to-low resolution subnetworks one by one to form more stages, and connect the mutli-resolution subnetworks in parallel.

INSTANCE SEGMENTATION KEYPOINT DETECTION MULTI-PERSON POSE ESTIMATION OBJECT DETECTION POSE TRACKING REPRESENTATION LEARNING

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

24 Nov 2019osmr/imgclsmob

We rethink a well-know bottom-up approach for multi-person pose estimation and propose an improved one.

MULTI-PERSON POSE ESTIMATION

Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose

29 Nov 2018osmr/imgclsmob

In this work we adapt multi-person pose estimation architecture to use it on edge devices.

MULTI-PERSON POSE ESTIMATION

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

10 May 2016DeepLabCut/DeepLabCut

The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people.

MULTI-PERSON POSE ESTIMATION

DirectPose: Direct End-to-End Multi-Person Pose Estimation

18 Nov 2019aim-uofa/AdelaiDet

We propose the first direct end-to-end multi-person pose estimation framework, termed DirectPose.

MULTI-PERSON POSE ESTIMATION

ArtTrack: Articulated Multi-person Tracking in the Wild

CVPR 2017 eldar/pose-tensorflow

In this paper we propose an approach for articulated tracking of multiple people in unconstrained videos.

MULTI-PERSON POSE ESTIMATION

Learning Delicate Local Representations for Multi-Person Pose Estimation

ECCV 2020 chenyilun95/tf-cpn

To tackle this problem, we propose an efficient attention mechanism - Pose Refine Machine (PRM) to make a trade-off between local and global representations in output features and further refine the keypoint locations.

MULTI-PERSON POSE ESTIMATION