3d-human-mesh

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

• wangzheallen / awesome-human-pose-estimation

  Human Pose Estimation Related Publication

  3d-human-pose2d-human-posehuman-pose-estimationvideo-pose-estimationpaper-readingpose-generationhuman-generationreal-time-pose-estimationdomain-knowdgepose-focastingpose-and-language3d-human-meshpose-datasetmotion-capturemotion-predictionmotion-planninghuman-env-interactionhuman-scene-interaction
  1336

• 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

  single-viewgraph-convolutional-network3d-mesh2d-human-pose3d-human-pose3d-human-meshrgb-imageeccv2020eccv
  Language:Python 677

• hongsukchoi / TCMR_RELEASE

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

  3d-human-mesh3d-human-motion3d-human-shape-and-pose-estimationcvpr2021temporalvideo
  Language:Python 291

• mkocabas / SPEC

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

  3d-human-mesh3d-human-pose3d-human-reconstruction3d-human-shape-and-pose-estimationcamera-calibrationcomputer-graphicscomputer-visionhuman-pose-estimation
  Language:Python 228
• SMPL-Anthropometry

  DavidBoja / SMPL-Anthropometry

  Measure the SMPL body model

  anthropometrybody-measurementsmeasurementssmplbodysmpl-model3d-human3d-human-meshhuman-shape-estimationshapeshape-estimationsmpl-x
  Language:Python 169

• hongsukchoi / 3DCrowdNet_RELEASE

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

  3d-human-mesh3d-human-shape-and-pose-estimationcrowded-scenescvpr2022monocular-imagespose-estimation
  Language:Python 156

• muelea / buddi

  Our model BUDDI learns the joint distribution of interacting people

  3d-human-mesh3d-human-reconstruction3d-human-shape-and-pose-estimationdiffusion-modelhuman-interactionssmplx
  Language:Python 140

• luyangzhu / NBA-Players

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

  3d-human-mesh3d-human-pose3d-human-reconstructioneccv-2020eccv2020
  Language:Python 97

• luyangzhu / NBA2K-dataset

  NBA2K Dataset for the ECCV2020 paper : Reconstructing NBA Players

  eccv20203d-human-reconstruction3d-human-meshdataseteccv-2020
  Language:Python 76

• xuxy09 / RSC-Net

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

  3d3d-human-mesh3d-human-shape-and-pose-estimationcomputer-visioncontrastive-learningdeep-learningweakly-supervised-learning
  Language:Python 54

• sanweiliti / PLACE

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

  human-scene-interaction3d-human-mesh3d-scenespytorch
  Language:Python 50

• wangkua1 / nemo-cvpr2023

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

  3d-human-mesh3d-human-motion3d-human-pose3d-human-shape-and-pose-estimationneural-fields
  Language:Python 47

• RCHI-Lab / BodyMAP

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

  3d-human-mesh3d-human-shape-and-pose-estimationpose-estimationpressure-estimationpressure-sensing
  Language:Python 14

• 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.

  3d-human-meshbaselinebenchmarkdeep-learninglinear-regressionsmpl-model
  Language:Python 7

• chaitanya100100 / HumanMeshNet

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

  3d-reconstruction3d-computer-visiondeep-learning3d-human-mesh
  Language:Python 4

• 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.

  3d-human-meshcomputer-graphicscomputer-visionflaskmesh-processingnumpypandaspythonsmplsmplxthree-jsvitejs
  Language:JavaScript 3

• ZengJiayi549 / EasyMocap

  marker-less human motion capture from RGB videos

  learningmocap3d-human-mesh
  Language:Python 1

• Keiku / docker-mmhuman3d

  Dockerfile for mmhuman3d.

  smplsmpl-x3d-human-mesh3d-reconstructionopenmmlab3d-mesh-recovery
  Language:Dockerfile