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[Xiang Xu*](https://samxuxiang.github.io/), [Pradeep Jayaraman*](https://www.research.autodesk.com/people/pradeep-kumar-jayaraman/), [Joseph Lambourne*](https://www.research.autodesk.com/people/joseph-george-lambourne/), [Yilin Liu](https://yilinliu77.github.io/), [Durvesh Malpure](https://www.research.autodesk.com/people/durvesh-malpure/), [Pete Meltzer](https://www.research.autodesk.com/people/pete-meltzer/)
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[](https://arxiv.org/abs/2512.03018)
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[](https://github.com/AutodeskAILab/AutoBrep)
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[Xiang Xu*](https://samxuxiang.github.io/), [Pradeep Jayaraman*](https://www.research.autodesk.com/people/pradeep-kumar-jayaraman/), [Joseph Lambourne*](https://www.research.autodesk.com/people/joseph-george-lambourne/), [Yilin Liu](https://yilinliu77.github.io/), [Durvesh Malpure](https://www.research.autodesk.com/people/durvesh-malpure/), [Pete Meltzer](https://www.research.autodesk.com/people/pete-meltzer/)
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[](https://arxiv.org/abs/2512.03018)
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[](https://github.com/AutodeskAILab/AutoBrep)
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AutoBrep is a decoder-only Transformer model that autoregressively generates B-Rep geometry and topology tokens.
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### Citation
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```
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@inproceedings{xu2025autobrep,
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title={AutoBrep: Autoregressive B-Rep Generation with Unified Topology and Geometry},
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author={Xu, Xiang and Jayaraman, Pradeep and Lambourne, Joseph and Liu, Yilin and Malpure, Durvesh and Meltzer, Pete},
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booktitle={Proceedings of the SIGGRAPH Asia 2025 Conference Papers},
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pages={1--12},
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year={2025}
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}
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```
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