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- ---
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- license: mit
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- ---
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-
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- # GS^3 Pre-trained Models
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-
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- This repository contains pre-trained models for the SIGGRAPH Asia 2024 Paper: "GS^3: Efficient Relighting with Triple Gaussian Splatting".
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-
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- Project Page: [https://gsrelight.github.io/](https://gsrelight.github.io/)
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- arXiv: [TBD](TBD)
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-
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- Please cite our paper if you use our models:
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-
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- ```bibtex
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- @inproceedings {bi2024rgs,
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- title = {GS\textsuperscript{3}: Efficient Relighting with Triple Gaussian Splatting},
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- author = {Zoubin Bi and Yixin Zeng and Chong Zeng and Fan Pei and Xiang Feng and Kun Zhou and Hongzhi Wu},
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- booktitle = {SIGGRAPH Asia 2024 Conference Papers},
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- year = {2024}
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- }
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- ```
 
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+ ---
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+ license: mit
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+ ---
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+
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+ # GS^3 Pre-trained Models
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+
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+ This repository contains pre-trained models for the SIGGRAPH Asia 2024 Paper: "GS^3: Efficient Relighting with Triple Gaussian Splatting".
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+
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+ Project Page: [https://gsrelight.github.io/](https://gsrelight.github.io/)
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+ arXiv: [2410.11419](https://arxiv.org/abs/2410.11419)
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+
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+ Please cite our paper if you use our models:
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+
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+ ```bibtex
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+ @inproceedings {bi2024rgs,
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+ title = {GS\textsuperscript{3}: Efficient Relighting with Triple Gaussian Splatting},
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+ author = {Zoubin Bi and Yixin Zeng and Chong Zeng and Fan Pei and Xiang Feng and Kun Zhou and Hongzhi Wu},
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+ booktitle = {SIGGRAPH Asia 2024 Conference Papers},
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+ year = {2024}
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+ }
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+ ```