3D Pose Estimation
122 papers with code • 6 benchmarks • 29 datasets
Benchmarks
These leaderboards are used to track progress in 3D Pose Estimation
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Libraries
Use these libraries to find 3D Pose Estimation models and implementations
Human3.6M
LSP
HO-3D
Hypersim
MuCo-3DHP
ApolloCar3D
SVIRO
Unite the People
HUMAN4D
Most implemented papers
A simple yet effective baseline for 3d human pose estimation
una-dinosauria/3d-pose-baseline
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ICCV 2017
Following the success of deep convolutional networks, state-of-the-art methods for 3d human pose estimation have focused on deep end-to-end systems that predict 3d joint locations given raw image pixels.
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
DenisTome/Lifting-from-the-Deep-release
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CVPR 2017
We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks.
BlazePose: On-device Real-time Body Pose tracking
google/mediapipe
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We present BlazePose, a lightweight convolutional neural network architecture for human pose estimation that is tailored for real-time inference on mobile devices.
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch
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Our approach uses novel occlusion-robust pose-maps (ORPM) which enable full body pose inference even under strong partial occlusions by other people and objects in the scene.
VIBE: Video Inference for Human Body Pose and Shape Estimation
Human motion is fundamental to understanding behavior.
Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
zju3dv/EasyMocap
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CVPR 2019
This paper addresses the problem of 3D pose estimation for multiple people in a few calibrated camera views.
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
eldar/differentiable-point-clouds
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NeurIPS 2018
We address the problem of learning accurate 3D shape and camera pose from a collection of unlabeled category-specific images.
Integral Human Pose Regression
JimmySuen/integral-human-pose
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ECCV 2018
State-of-the-art human pose estimation methods are based on heat map representation.
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
mks0601/V2V-PoseNet_RELEASE
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CVPR 2018
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
Action recognition and human pose estimation are closely related but both problems are generally handled as distinct tasks in the literature.
