/DoGaussian

DoGaussian: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus

DoGaussian

DoGaussian: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus

[Project Page | arXiv]

1. Introduction

Our method accelerates the training of 3DGS by 6+ times when evaluated on large-scale scenes while concurrently achieving state-of-the-art rendering quality.

2. TODO & Roadmap

  • Release evaluation code
  • Release pre-trained models on Mill19, UrbanScene3D, and MatrixCity
  • Release web-viewer.
  • Release training code
  • Test on street-view scenes
  • Support distributed training of Scaffold-GS and Octree-GS

Cite

If you find this project useful for your research, please consider citing our paper:

@inproceedings{yuchen2024dogaussian,
    title={DoGaussian: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus},
    author={Yu Chen, Gim Hee Lee},
    booktitle={arXiv},
    year={2024},
}