GetMesh: A Controllable Model for High-quality Mesh Generation and
  Manipulation
Zhaoyang Lyu Ben Fei Jinyi Wang Xudong Xu Ya Zhang Weidong Yang Bo Dai
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.