--- license: other license_name: scannet license_link: LICENSE --- # [CVPR 2025] GFS-VL: Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model ## Overview GFS-VL is a novel framework proposed in our CVPR 2025 paper: [**Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model**](https://arxiv.org/pdf/2503.16282). Our approach leverages the synergy between: - **Dense but noisy pseudo-labels** from 3D Vision-Language Models - **Precise yet sparse few-shot samples** by maximizing the strengths of both data sources for effective generalized few-shot 3D point cloud segmentation. ## Benchmark Datasets In the papaer, we introduce **two new challenging GFS-PCS benchmarks** with diverse novel classes for comprehensive generalization evaluation. This repository contains the **two novel GFS-PCS benchmarks**: - **[ScanNet200](https://github.com/ScanNet/ScanNet)**: Our GFS benchmark based on ScanNet200, also including the original ScanNet labels - **[ScanNet++](https://github.com/scannetpp/scannetpp)**: Our GFS benchmark based on ScanNet++ These benchmarks lay a solid foundation for real-world GFS-PCS advancements. > **Note**: To use these datasets, you must first agree to the terms and apply for access. Please refer to [ScanNet200](https://github.com/ScanNet/ScanNet?tab=readme-ov-file#scannet-data) and [ScanNet++](https://kaldir.vc.in.tum.de/scannetpp/register) for instructions. ## Dataset Structure Each dataset in this repository is organized as follows: - **Splits**: Train, validation, and test sets. - **Registration Data List**: For both 1-shot and 5-shot scenarios, each includes five randomly generated registration sets. ## Usage For detailed usage instructions, model implementation, and training code, please refer to our [GitHub repository](https://github.com/ZhaochongAn/GFS-VL). ## Pre-trained Model Weights The complete GFS-VL pre-trained model weights can be found in our [model weights repository](https://huggingface.co/ZhaochongAn/GFS_VL). ## Citation If you find our work useful, please consider citing our paper: ```bibtex @inproceedings{an2025generalized, title={Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model}, author={An, Zhaochong and Sun, Guolei and Liu, Yun and Li, Runjia and Han, Junlin and Konukoglu, Ender and Belongie, Serge}, booktitle=CVPR, year={2025} } ```