Momentum Human Rig is an anatomically-inspired parametric full-body digital human model developed at Meta. It includes: A parametric body skeletal model; A realistic 3D mesh skinned to the skeleton…

The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the…

SAM 3D Objects

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

An out-of-box human parsing representation extractor.

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

Repository for "Probabilistic Modeling for Human Mesh Recovery"

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Project page for End-to-end Recovery of Human Shape and Pose

4DHumans: Reconstructing and Tracking Humans with Transformers

Official Code for "MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction"

Repository for the paper "Human Mesh Recovery from Multiple Shots"

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Code of "Human Mesh Recovery from Arbitrary Multi-view Images"

Data preparation and loader for AMASS

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

3D ResNets for Action Recognition (CVPR 2018)

iBOT 🤖: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

Learning from Synthetic Humans, CVPR 2017

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolutio…

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

SMPL-X

OpenMMLab Pose Estimation Toolbox and Benchmark.