mkocabas

VIBE

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

EpipolarPose

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

CoordConv-pytorch

Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)

PARE

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

pose-residual-network

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

body-model-visualizer

GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.

focal-loss-keras

Focal Loss implementation in Keras

SPEC

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

multi-person-tracker

Simple Multi Person Tracker implementation in PyTorch

yolov3-pytorch

YOLOV3 pytorch implementation as a python package

humanpose_papernotes

Summary and notes on paper about human pose estimation.

TrilateralMap

A novel 3D mesh shape descriptor

SPIN

Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS

humor-1

Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"

mkocabas.github.io

My personal website

smplx

SMPL-X

soccerontable

Upconverting YouTube soccer videos in 3D for viewing in AR/VR devices.Soccer On Your Tabletop

awesome-3D-gaussian-splatting

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

awesome-human-pose-estimation

Human Pose Estimation Related Publication

cocoapi

COCO API - Dataset @ http://cocodataset.org/

deep-high-resolution-net.pytorch

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

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

mannequinchallenge

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."

particle-sfm

ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild. ECCV 2022.

tapnet