Mesh Diffusion

Train diffusion models that directly generate 3D mesh structures (vertices, faces, topology) rather than 2D representations, producing ready-to-use 3D assets. Mesh diffusion operates directly on 3D mesh representations instead of generating 2D views for reconstruction. The training pipeline involves encoding meshes into a structured representation (vertex sequences, triangle sets, or latent codes), then learning the diffusion process on this representation. MeshGPT uses a transformer to autoregressively generate vertex positions and face connectivity. PolyGen generates meshes by first predicting vertex positions, then predicting the face topology. This produces watertight, production-ready meshes without post-processing.