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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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<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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</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/blob/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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