3D Pose Estimation
132 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
CarFusion
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.
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
Catalyst discovery and optimization is key to solving many societal and energy challenges including solar fuels synthesis, long-term energy storage, and renewable fertilizer production.
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.
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.
