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

Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation

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

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

[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation

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

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

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

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

Our model BUDDI learns the joint distribution of interacting people

Official implementation of CVPR2022 paper "Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video"

[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation

The Fast Way From Vertices to Parametric 3D Humans

[ICCV 2023] This repo is official PyTorch implementation of Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction.

[3DV 2024] POCO: 3D Pose and Shape Estimation using Confidence

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

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

Official code for "SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation"

3D In-the-Wild Human Dataset Generation with Diffusion Models

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