3d-human-mesh

There are 21 repositories under 3d-human-mesh topic.

  • wangzheallen/awesome-human-pose-estimation

    Human Pose Estimation Related Publication

  • hongsukchoi/Pose2Mesh_RELEASE

    Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020

    Language:Python679167469
  • hongsukchoi/TCMR_RELEASE

    Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021

    Language:Python29394839
  • mkocabas/SPEC

    Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

    Language:Python228121731
  • isarandi/nlf

    [NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation

    Language:Python204647
  • SMPL-Anthropometry

    DavidBoja/SMPL-Anthropometry

    Measure the SMPL body model

    Language:Python17772526
  • hongsukchoi/3DCrowdNet_RELEASE

    Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022

    Language:Python15683514
  • muelea/buddi

    Our model BUDDI learns the joint distribution of interacting people

    Language:Python14271012
  • luyangzhu/NBA-Players

    ECCV2020 - Official code repository for the paper : Reconstructing NBA Players

    Language:Python986718
  • luyangzhu/NBA2K-dataset

    NBA2K Dataset for the ECCV2020 paper : Reconstructing NBA Players

    Language:Python77678
  • isarandi/smplfitter

    The Fast Way From Vertices to Parametric 3D Humans

    Language:Python72501
  • xuxy09/RSC-Net

    Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

    Language:Python532145
  • sanweiliti/PLACE

    Official Pytorch implementation for 2020 3DV paper "PLACE: Proximity Learning of Articulation and Contact in 3D Environments" and trained models

    Language:Python50526
  • wangkua1/nemo-cvpr2023

    [CVPR 2023 Highlight] Official implementation of "NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action"

    Language:Python46234
  • RCHI-Lab/BodyMAP

    Official implementation of "BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed", CVPR 2024

    Language:Python15352
  • kristijanbartol/linear-3d-humans

    "Linear Regression vs. Deep Learning". The source code for a simple but effective baseline method for human body measurement estimation using only height and weight information about the person.

    Language:Python7312
  • chaitanya100100/HumanMeshNet

    Source code for HumanMeshNet: Polygonal Mesh Recovery of Humans, ICCV 2019 Workshop 3DRW

    Language:Python4314
  • THARUNESHWAR-369/body-measurement-to-smpl-beta

    This project was born out of a passion for computer vision and 3D human modeling. It explores the power of SMPLX for body shape representation and demonstrates its application in generating realistic 3D avatars from simple measurements.

    Language:JavaScript40
  • isarandi/bodycompress

    Compress a stream of nonparametric 3D human mesh estimates

    Language:Python110
  • Keiku/docker-mmhuman3d

    Dockerfile for mmhuman3d.

    Language:Dockerfile1101
  • ZengJiayi549/EasyMocap

    marker-less human motion capture from RGB videos

    Language:Python1100