README.md

EvaGaussians:Event Assisted Gaussian Splatting from Blurry Images

If you like our project, please give us a star ⭐ on GitHub for latest update.

     

Implemetation of EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images

🗓️ TODO

We will update the following list after the paper is accepted.

• [2024-05-29] We have released our project page.
• [2024-05-29] We have uploaded our paper, EvaGaussians on arxiv
• Upload raw dataset
• Upload the blender file and scripts
• Upload the code

🍭 Novel and Deblurring View Synthesis Results

🌅 Qualitative comparison

📊 Quantitative comparison

🙏 Acknowledgements

This source code is derived from multiple sources, in particular: gaussian-splatting, rpg_vid2e. We thank the authors for releasing their code.

@Article{kerbl3Dgaussians,
      author       = {Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
      title        = {3D Gaussian Splatting for Real-Time Radiance Field Rendering},
      journal      = {ACM Transactions on Graphics},
      number       = {4},
      volume       = {42},
      month        = {July},
      year         = {2023},
      url          = {https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
}

@InProceedings{Gehrig_2020_CVPR,
  author = {Daniel Gehrig and Mathias Gehrig and Javier Hidalgo-Carri\'o and Davide Scaramuzza},
  title = {Video to Events: Recycling Video Datasets for Event Cameras},
  booktitle = {{IEEE} Conf. Comput. Vis. Pattern Recog. (CVPR)},
  month = {June},
  year = {2020}
}

🤝 Contributors