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