3D dataset of humans Manipulating Objects in-the-Wild (MOW)

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Deep Learning MOW
Overview

MOW dataset [Website]

This repository maintains our 3D dataset of humans Manipulating Objects in-the-Wild (MOW). The dataset contains 512 images in the wild, spanning 121 object categories with annotation of instance category, 3D object models, 3D hand pose, and object pose annotation.

Setup

(0) Getting Started

Clone this repository, and create local environment with python3.6, and then run: bash setup.sh. Finally, download the MANO model following this repo.

(1) Download the dataset

Download our data (512 examples) from this link.

(2) Visualize the example

python vis_anno.py

Citation

If you find this data useful in your research, please consider citing:

@InProceedings{Cao2021,
  title = {Reconstructing Hand-Object Interactions in the Wild},
  author = {Zhe Cao and Ilija Radosavovic and Angjoo Kanazawa and Jitendra Malik},
  booktitle = {ICCV},
  year = {2021}
}
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Comments
  • Code for the Paper

    Code for the Paper

    First of all, thank you so much for open sourcing this fantastic dataset. I wanted to use this project to obtain hand-object poses for my own research. Do you plan to release the code for as well?

    Thanks

    opened by SupreethN 1
Owner
Zhe Cao
PhD in Computer Vision
Zhe Cao
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