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S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning

This repo contains details for our paper: "S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning" (ECCV 2022)

[Project Page]

Teaser

Installation

This document contains detailed instructions for installing the necessary dependencied for S2Contact.

Create and activate a conda environment

conda create -n s2contact python=3.8
conda activate s2contact

Install PyTorch and PyTorch3D

conda install -c pytorch pytorch=1.7.1 torchvision cudatoolkit=10.2
conda install -c fvcore -c iopath -c conda-forge fvcore iopath
conda install pytorch3d -c pytorch3d

Install PyTorch-Geometric Please following this installation instructions

Install Other dependencies

pip install git+https://github.com/hassony2/manopth.git open3d tensorboardX pyquaternion trimesh transforms3d chumpy opencv-python

Download MANO Model Download the MANO model files (mano_v1_2.zip) from MANO website.
```
mano/webuser/lbs.py
mano/models/MANO_RIGHT.pkl
```

Quick Start

Quick Demo

python network/run_contactopt.py --split=demo --model=dgcnn
python network/run_eval.py --split=demo --model=dgcnn
python network/run_eval.py --split=demo --model=dgcnn --vis

TODO

To release pseudo labeled dataset.
Upload paper to arXiv.

Acknowledgement

This repo is built upon ContactOpt. We would like to thank their authors for providing great frameworks and toolkits.

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