Adding initial model and documentation

.gitattributes

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README.md

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 ---
 license: mit
 ---
+
+# OPDMulti: Openable Part Detection for Multiple Objects
+
+This repository contains the latest model file for the [OPDMulti](https://github.com/3dlg-hcvc/OPDMulti) project.
+Please refer there for more information about the proect and implementation.
+
+[arXiv](https://arxiv.org/abs/2303.14087)  [Website](https://3dlg-hcvc.github.io/OPDMulti/)
+
+## Citation
+If you find this code useful, please consider citing:
+```bibtex
+@article{sun2023opdmulti,
+  title={OPDMulti: Openable Part Detection for Multiple Objects},
+  author={Sun, Xiaohao and Jiang, Hanxiao and Savva, Manolis and Chang, Angel Xuan},
+  journal={arXiv preprint arXiv:2303.14087},
+  year={2023}
+}
+
+@article{mao2022multiscan,
+  title={MultiScan: Scalable RGBD scanning for 3D environments with articulated objects},
+  author={Mao, Yongsen and Zhang, Yiming and Jiang, Hanxiao and Chang, Angel and Savva, Manolis},
+  journal={Advances in Neural Information Processing Systems},
+  volume={35},
+  pages={9058--9071},
+  year={2022}
+}
+
+@inproceedings{jiang2022opd,
+  title={OPD: Single-view 3D openable part detection},
+  author={Jiang, Hanxiao and Mao, Yongsen and Savva, Manolis and Chang, Angel X},
+  booktitle={Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XXXIX},
+  pages={410--426},
+  year={2022},
+  organization={Springer}
+}
+
+@inproceedings{cheng2022masked,
+  title={Masked-attention mask transformer for universal image segmentation},
+  author={Cheng, Bowen and Misra, Ishan and Schwing, Alexander G and Kirillov, Alexander and Girdhar, Rohit},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
+  pages={1290--1299},
+  year={2022}
+}
+```
+

pytorch_model.pth

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+size 176688625