3D Pose Estimation
133 papers with code • 6 benchmarks • 30 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
Latest papers with no code
Human Pose-based Estimation, Tracking and Action Recognition with Deep Learning: A Survey
This paper presents a comprehensive survey of pose-based applications utilizing deep learning, encompassing pose estimation, pose tracking, and action recognition. Pose estimation involves the determination of human joint positions from images or image sequences.
Holistic Parking Slot Detection with Polygon-Shaped Representations
Current parking slot detection in advanced driver-assistance systems (ADAS) primarily relies on ultrasonic sensors.
Unsupervised Multi-Person 3D Human Pose Estimation From 2D Poses Alone
To address the issue of perspective ambiguity, we expand upon prior work by predicting the cameras' elevation angle relative to the subjects' pelvis.
Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild
3D pose estimation is an invaluable task in computer vision with various practical applications.
Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis
The findings highlight the effectiveness of our method in mitigating the challenges posed by motion blur, thereby enhancing the overall quality of pose estimation.
Improving 3D Pose Estimation for Sign Language
Given a 2D detection of keypoints in the image, we lift the skeleton to 3D using neural networks to predict both the joint rotations and bone lengths.
Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling
Most of the previous 3D human pose estimation work relied on the powerful memory capability of the network to obtain suitable 2D-3D mappings from the training data.
MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling
In this paper, we propose MPM, a unified 2D-3D human pose representation framework via masked pose modeling.
Generating Images with 3D Annotations Using Diffusion Models
With explicit 3D geometry control, we can easily change the 3D structures of the objects in the generated images and obtain ground-truth 3D annotations automatically.
Strengths and Weaknesses of 3D Pose Estimation and Inertial Motion Capture System for Movement Therapy
The information from the Awinda system and the frames for monocular pose estimation are synchronized.
