MeshCraft: Exploring Efficient and Controllable Mesh Generation with Flow-based DiTs

Understand

In the domain of 3D content creation, achieving optimal mesh topology through AI models has long been a pursuit for 3D artists.

• Previous methods, such as MeshGPT, have explored the generation of ready-to-use 3D objects via mesh auto-regressive techniques.
• While these methods produce visually impressive results, their reliance on token-by-token predictions in the auto-regressive process leads to several significant limitations.
• These include extremely slow generation speeds and an uncontrollable number of mesh faces.