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| license: apache-2.0
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| ---
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| ---
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| license: apache-2.0
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| ---
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| # Text2Loc_v2 Dataset and Resources
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| This repository provides the dataset and auxiliary resources for **Text2Loc_v2**, associated with the paper **Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language**.
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| The released files are intended to support research on text-based 3D point cloud localization, including data loading, model evaluation, and reproduction of the main experimental setup.
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| ## Links
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| - GitHub Repository: [Text2Loc_v2](https://github.com/anslt/Text2Loc_v2)
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| - Paper: [Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language](https://arxiv.org/abs/2511.15308)
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| ## Repository Structure
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| ```text
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| .
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| ├── README.md
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| ├── .gitattributes
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| ├── data.zip
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| └── model_checkpoints.zip
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| ```
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| ## File Description
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| ### `data.zip`
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| This archive contains the main dataset used for Text2Loc_v2.
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| It includes the processed data required for training and evaluation. Users who would like to reproduce the main results or train models on the full dataset should use this file.
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| Please unzip this archive before running the training or evaluation scripts.
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| ### `model_checkpoints.zip`
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| This archive contains the released model checkpoints.
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| These checkpoints can be used for evaluation, inference, or as initialization for further research. Please refer to the main GitHub repository for the expected checkpoint paths and loading instructions.
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| ## Recommended Usage
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| For regular use, please download and extract:
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| ```text
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| data.zip
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| model_checkpoints.zip
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| ```
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| Please make sure the extracted file paths match the configuration used in the GitHub repository.
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| ## Notes
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| Additional lightweight files may be present in this repository for internal review or demonstration purposes. They are not required for normal usage, formal training, evaluation, or result reproduction.
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| ## License
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| This dataset and the associated resources are released under the Apache 2.0 License.
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| ## Citation
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| If you find this work useful in your research, please consider citing:
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| ```bibtex
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| @inproceedings{xia2024text2loc,
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| title = {Text2Loc: 3D Point Cloud Localization from Natural Language},
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| author = {Xia, Yan and Shi, Letian and Ding, Zifeng and Henriques, Jo\~{a}o F. and Cremers, Daniel},
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| booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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| pages = {14958--14967},
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| year = {2024}
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| }
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| @article{xia2025text2locpp,
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| title = {Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language},
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| author = {Xia, Yan and Shi, Letian and Di, Yilin and Henriques, Jo\~{a}o F. and Cremers, Daniel},
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| journal = {arXiv preprint arXiv:2511.15308},
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| year = {2025}
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| }
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| ```
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