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顶点重生:支持连续细节层次的网格生成

VertexRegen: Mesh Generation with Continuous Level of Detail

August 12, 2025
作者: Xiang Zhang, Yawar Siddiqui, Armen Avetisyan, Chris Xie, Jakob Engel, Henry Howard-Jenkins
cs.AI

摘要

我们提出了VertexRegen,一种新颖的网格生成框架,能够在连续细节层次上进行生成。现有的自回归方法以部分到完整的方式生成网格,因此生成过程中的中间步骤代表的是不完整的结构。VertexRegen从渐进式网格中汲取灵感,将生成过程重新表述为边折叠的逆过程,即顶点分割,并通过生成模型进行学习。实验结果表明,VertexRegen生成的网格质量与最先进的方法相当,同时独特地提供了随时生成的能力,能够在任何步骤灵活停止,从而产生具有不同细节层次的有效网格。
English
We introduce VertexRegen, a novel mesh generation framework that enables generation at a continuous level of detail. Existing autoregressive methods generate meshes in a partial-to-complete manner and thus intermediate steps of generation represent incomplete structures. VertexRegen takes inspiration from progressive meshes and reformulates the process as the reversal of edge collapse, i.e. vertex split, learned through a generative model. Experimental results demonstrate that VertexRegen produces meshes of comparable quality to state-of-the-art methods while uniquely offering anytime generation with the flexibility to halt at any step to yield valid meshes with varying levels of detail.
PDF232August 13, 2025