3d-pose-estimation

There are 78 repositories under 3d-pose-estimation topic.

  • mkocabas/VIBE

    Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

    Language:Python2.8k68265552

  • Jeff-sjtu/HybrIK

    Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021

    Language:Python1.2k26221143

  • Walter0807/MotionBERT

    [ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"

    Language:Python91621132112

  • FORTH-ModelBasedTracker/MocapNET

    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

    Language:C++82133120133

  • 3DFaceBody/awesome-3dbody-papers

    😎Awesome list of papers about 3D body

    602341071
  • expose

    vchoutas/expose

    ExPose - EXpressive POse and Shape rEgression

    Language:Python601226399

  • mkocabas/EpipolarPose

    Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

    Language:Jupyter Notebook593255597

  • Shimingyi/MotioNet

    A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]

    Language:Python553315682

  • garyzhao/SemGCN

    The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

    Language:Python459115878

  • mks0601/V2V-PoseNet_RELEASE

    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

    Language:MATLAB375186667

  • weigq/3d_pose_baseline_pytorch

    A simple baseline for 3d human pose estimation in PyTorch.

    Language:Python36584563

  • cure-lab/SmoothNet

    [ECCV 2022] Official implementation of the paper "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"

    Language:Python33195737

  • Nicholasli1995/EvoSkeleton

    Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

    Language:Python331125844

  • zhangboshen/A2J

    Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

    Language:Python286216547

  • Arthur151/SOTA-on-monocular-3D-pose-and-shape-estimation

    State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery

    Language:Python25611131

  • wholebody3d/wholebody3d

    Official repository of Human3.6M 3D WholeBody (H3WB) dataset

    Language:Python22510328

  • cure-lab/DeciWatch

    [ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"

    Language:Python17192116

  • Nicholasli1995/EgoNet

    Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

    Language:Python17161819

  • 3dpose/3D-Multi-Person-Pose

    3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks

    Language:Python15892221

  • Westlake-AI/MogaNet

    [ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

    Language:Jupyter Notebook14921713

  • tucan9389/PoseEstimation-TFLiteSwift

    The baseline project for inferencing various Pose Estimation tflite models with TFLiteSwift on iOS

    Language:Swift146104920

  • GONGJIA0208/Diffpose

    [CVPR 2023] DiffPose: Toward More Reliable 3D Pose Estimation

    Language:Python1377209

  • ibaiGorordo/ONNX-Mobile-Human-Pose-3D

    Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

    Language:Python1195513

  • horefice/Human-Pose-Estimation-from-RGB

    Human Pose Estimation from RGB Camera - The repo

    11515117

  • ZhengyiLuo/MEVA

    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)

    Language:Python10541221

  • miu200521358/3d-pose-baseline-vmd

    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。

    Language:Python9671022

  • 3dpose/GnTCN

    Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos

    Language:Python9322013

  • Jacob12138xieyuan/real-time-3d-pose-estimation-with-Unity3D

    Language:Python877526

  • Jacob12138xieyuan/real-time-3d-pose-estimation-with-Unity3D-public

    80436

  • NekSfyris/ESEKF_IMU_GNSS_Lidar

    Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.

    Language:Python653014

  • DCVL-3D/PointHMR_release

    Language:Python60683

  • CalciferZh/minimal-body

    A very simple baseline to estimate 2D & 3D SMPL-compatible keypoints from a single color image.

    Language:Python55526

  • muelea/tuch

    CVPR 2021 - Official code repository for the paper: On Self-Contact and Human Pose.

    Language:Python52554

  • KyungMinJin/HANet

    Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos (WACV 2023)

    Language:Python48753

  • tamasino52/U-CondDGCN

    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"

    Language:Python45287

  • miu200521358/motion_trace_bulk

    MMDモーショントレース自動化一括処理バッチ

    Language:Batchfile416110