TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes

By Mutian Xu*, Pei Chen*, Haolin Liu, and Xiaoguang Han

Introduction

This repository is built for:

TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes (ECCV2022 Oral) [arXiv]

If you find our work useful in your research, please consider citing:

@inproceedings{xu2022toscene,
  title={TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes},
  author={Xu, Mutian and Chen, Pei and Liu, Haolin and Han, Xiaoguang},
  booktitle={ECCV},
  year={2022}
}

Dataset

TO_Vanilla is temporarily available in the format of .npz file and .ply file.

Code

We have provided an initial version of our code implementations at here, including Point Transformer for the semantic segmentation task.

Note: More details and other variants of our dataset, as well as more implementations of models, data pre-processing details are being organized with the best effort, and will be released soon, via a complete website!