GetMesh：一种用于高质量网格生成与操作的可控模型
GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation
AI总结：
GetMesh提出一种基于可变数量点作为潜在表示并重组为三平面表示的可控生成模型，实现跨类别高质量网格生成与细粒度操作，优于现有方法。
摘要：
网格是各种工业应用中3D资产的基本表示形式，并得到专业软件的广泛支持。然而，由于其不规则的结构，网格的创建和操作通常耗时且费力。在本文中，我们提出了一种高度可控的生成模型GetMesh，用于跨不同类别的网格生成和操作。通过将可变数量的点作为潜在表示，并将其重新组织为三平面表示，GetMesh生成具有丰富和锐利细节的网格，优于单类别和多类别的对应方法。此外，它还实现了对生成过程的细粒度控制，这是以前的网格生成模型无法实现的，其中通过调整潜在点的数量、位置或特征，可以直观、高效且稳健地完成全局/局部网格拓扑的更改、网格部件的添加/移除以及跨类别网格部件的组合。项目页面为https://getmesh.github.io。
英文摘要：
Mesh is a fundamental representation of 3D assets in various industrial applications, and is widely supported by professional softwares. However, due to its irregular structure, mesh creation and manipulation is often time-consuming and labor-intensive. In this paper, we propose a highly controllable generative model, GetMesh, for mesh generation and manipulation across different categories. By taking a varying number of points as the latent representation, and re-organizing them as triplane representation, GetMesh generates meshes with rich and sharp details, outperforming both single-category and multi-category counterparts. Moreover, it also enables fine-grained control over the generation process that previous mesh generative models cannot achieve, where changing global/local mesh topologies, adding/removing mesh parts, and combining mesh parts across categories can be intuitively, efficiently, and robustly accomplished by adjusting the number, positions or features of latent points. Project page is https://getmesh.github.io.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
