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---
license: mit
language:
- en
---
<p align="center">
<h1 align="center">DiET-GS 🫨 <br>
Diffusion Prior and Event Stream-Assisted <br>
Motion Deblurring 3D Gaussian Splatting</h1>
<p align="center">
<a href="https://www.linkedin.com/in/seungjun-lee-43101a261/">Seungjun Lee</a></span> ·
<a href="https://www.comp.nus.edu.sg/~leegh/">Gim Hee Lee</a><sup></sup> <br>
Department of Computer Science, National University of Singapore<br>
</p>
<h2 align="center">CVPR 2025</h2>
<h3 align="center"><a href="https://github.com/DiET-GS/DiET-GS">Code</a> | <a href="https://arxiv.org/abs/2503.24210">Paper</a> | <a href="https://diet-gs.github.io">Project Page</a> </h3>
<div align="center">
<a href="https://pytorch.org/get-started/locally/"><img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white"></a>
<a href="https://pytorchlightning.ai/"><img alt="Lightning" src="https://img.shields.io/badge/-Lightning-792ee5?logo=pytorchlightning&logoColor=white"></a>
</div>
</p>
<p align="center">
<a href="">
<img src="https://github.com/DiET-GS/DiET-GS/raw/main/asset/teaser.png" alt="Logo" width="100%">
</a>
</p>
<p align="center">
Our <strong>DiET-GS++</strong> enables high quality novel-view synthesis with recovering precise color and well-defined details from the blurry multi-view images.
</p>
</p>
## Citation
If you find our code or paper useful, please cite
```bibtex
@inproceedings{lee2025diet,
title={DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splatting},
author={Lee, Seungjun and Lee, Gim Hee},
booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
pages={21739--21749},
year={2025}
}
``` |