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(CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
Please refer to DATASET.md for dataset preparation.
Training & Inference
Please refer to MODEL.md for training and inference scripts and pretrained models.
Citation
If you find this project useful in your research, please consider cite:
@inproceedings{ding2022language,
title={PLA: Language-Driven Open-Vocabulary 3D Scene Understanding},
author={Ding, Runyu and Yang, Jihan and Xue, Chuhui and Zhang, Wenqing and Bai, Song and Qi, Xiaojuan},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2023}
}
@inproceedings{yang2024regionplc,
title={RegionPLC: Regional point-language contrastive learning for open-world 3d scene understanding},
author={Yang, Jihan and Ding, Runyu and Deng, Weipeng and Wang, Zhe and Qi, Xiaojuan},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2024}
}
(CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding