There are 39 repositories under 3d-pose-estimation topic.
[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
😎Awesome list of papers about 3D body
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
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
A simple baseline for 3d human pose estimation in PyTorch.
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery
Official repository of Human3.6M 3D WholeBody (H3WB) dataset
Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
The baseline project for inferencing various Pose Estimation tflite models with TFLiteSwift on iOS
[CVPR 2023] DiffPose: Toward More Reliable 3D Pose Estimation
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.
Human Pose Estimation from RGB Camera - The repo
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)
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.
A very simple baseline to estimate 2D & 3D SMPL-compatible keypoints from a single color image.
Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos (WACV 2023)
Unofficial pytorch implementation of U-CondDGCN from "WenBo Hu, Changgong Zhang, Fangneng Zhan, Lei Zhang, Tien-Tsin Wong : Conditional Directed Graph Convolution for 3D Human Pose Estimation"
MMDモーショントレース自動化一括処理バッチ