PyMAF

Human reconstruction

Reconstructs human 3D models from monocular images using a feedback loop to improve pose and shape estimation

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

GitHub

596 stars
13 watching
67 forks
Language: Python
last commit: about 2 months ago
3d-human-pose3d-human-shape-and-pose-estimationhuman-mesh-recoveryhuman-model-reconstructionsmpl

Related projects:

Repository Description Stars
hongwenzhang/pymaf-x An open-source software project that enables the recovery of full-body 3D human models from monocular images. 224
hongwenzhang/danet-densepose2smpl This repository provides software tools and pre-trained models for estimating 3D human shape and pose from dense body parts 233
xingyizhou/pytorch-pose-hg-3d A PyTorch implementation of a 3D human pose estimation algorithm using weak supervision. 613
mks0601/3dmppe_posenet_release A PyTorch implementation of a deep learning model for 3D multi-person pose estimation from a single RGB image 821
lotayou/densebody_pytorch An implementation of CloudWalk's DenseBody paper using PyTorch 411
facebookresearch/eft Provides pseudo-GT 3D human pose data and pre-trained models for training 3D pose estimation algorithms 375
open-mmlab/mmhuman3d Provides a modular framework and tools for working with 3D human parametric models in computer vision and graphics 1,240
caizhongang/smpler-x An implementation of an expressive human pose and shape estimation system using deep learning techniques 1,006
bearpaw/pytorch-pose Provides tools and infrastructure for training, testing, and evaluating 2D human pose estimation models 1,105
vchoutas/smplify-x A software framework for capturing 3D human body and facial features from single images using machine learning models. 1,775
huguyuehuhu/hcn-pytorch Replication of a PyTorch model for action recognition and detection from skeleton data 219
gap-lab-cuhk-sz/total3dunderstanding An implementation of a 3D scene reconstruction method from a single image using computer vision and machine learning techniques 422
hongfz16/eva3d A system for generating 3D human models from 2D image collections using deep learning 589
zhou13/shapeunity Develops a method to reconstruct 3D wireframe models from a single image using deep learning 69
ethanyanjiali/minchatgpt This project demonstrates the effectiveness of reinforcement learning from human feedback (RLHF) in improving small language models like GPT-2. 213