PolycubeNet: A Dual-latent Diffusion Model for Polycube-Based Hexahedral Mesh Generation
PolycubeNet introduces a novel dual-latent diffusion model for generating hexahedral meshes from complex CAD geometries. This end-to-end framework eliminates the need for explicit surface segmentation, improving efficiency and robustness in mesh generation. The model demonstrates high-quality results and generalization capabilities across various CAD models.
- ▪Hexahedral meshes are essential for simulation pipelines, but their automatic generation is challenging.
- ▪PolycubeNet uses a dual-latent conditional diffusion architecture to streamline polycube generation.
- ▪The method produces high-quality polycube structures within seconds, outperforming previous learning-based approaches.
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Computer Science > Graphics arXiv:2605.20274 (cs) [Submitted on 19 May 2026] Title:PolycubeNet: A Dual-latent Diffusion Model for Polycube-Based Hexahedral Mesh Generation Authors:Lu He, Qitao Deng, Junjiang Deng, Liangbin Deng, Yanjun Liang, Wenting Yang, Guoqiang Wang, Na Lei View a PDF of the paper titled PolycubeNet: A Dual-latent Diffusion Model for Polycube-Based Hexahedral Mesh Generation, by Lu He and 7 other authors View PDF HTML (experimental) Abstract:Hexahedral meshes are widely used in simulation pipelines, yet automatic generation remains challenging for complex CAD geometries.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.