/HOPE

Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

Primary LanguagePython

HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation

Codes for HOPE-Net paper (CVPR 2020), a Graph Convolutional model for Hand-Object Pose Estimation (HOPE).

Datasets

To use the datasets used in the paper download First-Person Hand Action Dataset and HO-3D Dataset and update the root path in the make_data.py file located in each folder and run the make_data.py files to generate the .npy files.

Citation

Please cite our paper if this code helps your research.

@InProceedings{Doosti_2020_CVPR,
author = {Bardia Doosti and Shujon Naha and Majid Mirbagheri and David Crandall},
title = {HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}