A simple baseline for 3d human pose estimation in PyTorch.
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Updated
Apr 10, 2019 - Python
A simple baseline for 3d human pose estimation in PyTorch.
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
Reference ImageNet implementation of SelecSLS CNN architecture proposed in "XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera". Also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods.
This is a for of the original implementation, sharing so that anyone interested in using it on windows without a gpu in the system can run it
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
Openposeの2D人間骨格データから3D関節データを生成し、その関節データを出力します。
Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.
The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery
New egocentric synthetic dataset for egocentric 3D human pose estimation
This is a ROS package for Intel realsense D435i with 3-DOF Manipulator robot that can be used for Indoor Mapping and localization of objects in the world frame with an added advantage of the robot's dexterity. The 3-DOF Manipulator is a self-built custom robot where the URDF with the depth sensor is included. The package covers the Rosserial com…
A very simple baseline to estimate 2D & 3D SMPL-compatible keypoints from a single color image.
Estimating 3d Landmarks and displaying them in rviz (Cpu)
Official implementation of ACCV 2020 paper "3D Human Motion Estimation via Motion Compression and Refinement" (Identical repo to https://github.com/KlabCMU/MEVA, will be kept in sync)
Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]
[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"
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