[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.

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

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

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

[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

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

The Fast Way From Vertices to Parametric 3D Humans

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

[ICCV 2025 Highlight] ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness

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

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

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

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

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"

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