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