human-mesh-recovery

There are 1 repository under human-mesh-recovery topic.

• PyMAF

  HongwenZhang / PyMAF

  [ICCV 2021, Oral] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

  human-model-reconstruction3d-human-pose3d-human-shape-and-pose-estimationsmplhuman-mesh-recovery
  Language:Python 584
• BalancedMSE

  jiawei-ren / BalancedMSE

  [CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

  computer-visionimbalanced-learningimbalanced-regressionage-estimationdepth-estimationhuman-mesh-recovery
  Language:Python 361

• NVlabs / GLAMR

  [CVPR 2022 Oral] Official PyTorch Implementation of "GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras”.

  human-pose-estimationhuman-mesh-recovery3d-reconstructiondigital-humanpose-trackingcvpr2022
  Language:Python 348

• tinatiansjz / hmr-survey

  [TPAMI 2023] Recovering 3D Human Mesh from Monocular Images: A Survey

  human-mesh-recoverysurveymonocular-motion-capture
  333

• sanweiliti / RoHM

  The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.

  3d-human-shape-and-pose-estimation3d-visiondiffusionhuman-mesh-recoveryhuman-motion-reconstructionmotion-prior
  Language:Python 290

• HongwenZhang / DaNet-DensePose2SMPL

  [TPAMI 2020] Learning 3D Human Shape and Pose from Dense Body Parts

  3d-human-reconstruction3d-human-shape-and-pose-estimationdensepose-to-smplhuman-mesh-recoverysmpl
  Language:Python 226

• HongwenZhang / PyMAF-X

  [TPAMI 2023] PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images

  smplxfull-body-motion-capturemonocular-human-mesh-recoveryhuman-mesh-recoveryfull-body-mesh-recovery
  Language:Python 202

• naver / multi-hmr

  Pytorch demo code and models for Multi-HMR

  3d-pose3d-reconstructionhuman-mesh-recoverymulti-person-3d-mesh-recoverymulti-person-pose-estimationsingle-shotsmpl-x
  Language:Python 168

• postech-ami / FastMETRO

  [ECCV'22] Official PyTorch Implementation of "Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers"
  Language:Python 159

• sanweiliti / EgoHMR

  PyTorch code for EgoHMR (ICCV 2023): Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views

  3d-human-pose3d-visiondiffusion-modelegocentric-visionhuman-mesh-recoveryhuman-scene-interactionmotion-capturepose-estimationegohmr
  Language:Python 64

• kasvii / GATOR

  Official code of ICASSP 2023 paper "GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Reconstruction from a 2D Pose"

  human-mesh-recoverypose-estimationpytorch
  Language:Python 26

• hanbyel0105 / Diff-HMR

  Official PyTorch Implementation of "Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models", ICCV 2023 CV4Metaverse Workshop

  3d-reconstructioncomputer-graphicscomputer-visionhuman-mesh-recoveryhuman-pose-estimationmetaversepose-estimationvirtual-humansvirtual-realitydiffusiondiffusion-modeldiffusion-modelsgenerative-aigenerative-modelgenerative-models
  22

• GloryyrolG / MHEntropy

  The Official PyTorch Implementation of "MHEntropy: Multiple Hypotheses Meet Entropy for Pose and Shape Recovery" (ICCV 2023 Paper)

  iccv2023human-mesh-recoveryhuman-pose-estimationpytorchhand-pose-estimation
  Language:Python 8