README.md
February 4, 2025 · View on GitHub
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian Splatting
Tao Liu Runze Yuan Yi'ang Ju Xun Xu Jiaqi Yang Xiangting Meng Xavier Lagorce Laurent Kneip
ShanghaiTech University
Over the past year and a half, Gaussian Splatting has garnered significant attention and is now recognized as a groundbreaking advancement in 3D Reconstruction. Consequently, the integration of 3DGS with event cameras to improve localization has become a key area of research.
To the best of our knowledge, we are proud to introduce the first Gaussian Splatting map-based event camera tracking framework, which leverages the differentiable and realistic novel view synthesis capability of 3DGS to enhance event camera tracking.
How to install
git clone https://github.com/ChillTerry/GS-EVT.git --recursive
cd GSEVT
conda create --name GSEVT python=3.7
conda activate GSEVT
pip install -r requirements.txt
cd submodules/diff-gaussian-rasterization/
pip install -e .
How to get the dataset
We have preprocessed the VECTOR dataset, so you can download here and and put it in ./data/VECTOR.
How to run a sequence
python main.py -c configs/VECTOR/desk_normal1_config.yaml
Structure of this project
GSEVT
├── configs // Store config yamls for each sequence
├── data // Store data of gs-splat maps and event data(in txt)
├── gaussian_splatting // original gaussian splatting modules
├── results // tracking outputs
├── scripts // shell scripts for batch run on server
│ ├── desk_batch_run.sh
│ ├── robot_batch_run.sh
│ └── sofa_batch_run.sh
├── submodules
│ └── diff-gaussian-rasterization // customized rasterization module for this project
├── test // test scripts
│ ├── test_event_camera.py
│ ├── test_event_rgb_overlay.py
│ ├── test_initial_pose.py
│ ├── test_intensity_change.py
│ └── test_single_frame_tracking.py
├── utils
│ ├── auxiliary.py
│ ├── event_camera
│ ├── pose.py // functions for calculating pose
│ ├── render_camera // defines Camera class and RenderFrame class
│ ├── tracker.py // code for tracking
│ └── visualizer.py // code for visualing tracking results
├── main.py // run this file to start the tracking process
├── LICENSE
├── readme.txt
└── requirements.txt // packages needed for this project
Citation
@article{liu2024gs,
title={GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian Splatting},
author={Liu, Tao and Yuan, Runze and Ju, Yi'ang and Xu, Xun and Yang, Jiaqi and Meng, Xiangting and Lagorce, Xavier and Kneip, Laurent},
journal={arXiv preprint arXiv:2409.19228},
year={2024}
}