3D Pose Estimation
133 papers with code • 6 benchmarks • 30 datasets
Libraries
Use these libraries to find 3D Pose Estimation models and implementationsLatest papers
Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation
The key idea is to use a probability distribution to model the camera pose and iteratively update the distribution from 2D features instead of using camera pose.
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
To overcome the challenge in labeling RF imaging given its human incomprehensible nature, OCHID-Fi employs a cross-modality and cross-domain training process.
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects
This work evaluates and demonstrates the differences between self-supervised CNNs and Vision Transformers for deep template matching.
Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration
Recovering the actual 3D movement of the limbs (kinematics) of the athletes requires lifting these 2D pixel locations back into a third dimension, implying a certain scene geometry.
3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture
Recent advances in machine learning and computer vision are revolutionizing the field of animal behavior by enabling researchers to track the poses and locations of freely moving animals without any marker attachment.
3D Human Mesh Estimation from Virtual Markers
The advanced motion capture systems solve the problem by placing dense physical markers on the body surface, which allows to extract realistic meshes from their non-rigid motions.
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
On the other hand, JPMA is proposed to assemble multiple hypotheses generated by D3DP into a single 3D pose for practical use.
3D Human Pose and Shape Estimation via HybrIK-Transformer
HybrIK relies on a combination of analytical inverse kinematics and deep learning to produce more accurate 3D pose estimation from 2D monocular images.
HDFormer: High-order Directed Transformer for 3D Human Pose Estimation
Human pose estimation is a challenging task due to its structured data sequence nature.
Algebraically Rigorous Quaternion Framework for the Neural Network Pose Estimation Problem
The 3D pose estimation problem -- aligning pairs of noisy 3D point clouds -- is a problem with a wide variety of real-world applications.