3d-human-shape-and-pose-estimation topic
SPEC
Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera
TCMR_RELEASE
Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021
PyMAF
[ICCV 2021, Oral] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
PARE
Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation
DaNet-DensePose2SMPL
[TPAMI 2020] Learning 3D Human Shape and Pose from Dense Body Parts
3DCrowdNet_RELEASE
Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
RSC-Net
Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021
FastMETRO
[ECCV'22] Official PyTorch Implementation of "Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers"
MPS-Net_release
Official implementation of CVPR2022 paper "Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video"
HuManiFlow
[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation