Datasets:
ArXiv:
License:
File size: 2,400 Bytes
835b5f1 4798902 835b5f1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
---
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}
}
```
|