Datasets:
ArXiv:
License:
license: scannet | |
# [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} | |
} | |
``` | |