Strips as Tokens: Artist Mesh Generation with Native UV Segmentation

• URL: http://arxiv.org/abs/2604.09132v1
• Date: Fri, 10 Apr 2026 09:13:09 GMT
• Title: Strips as Tokens: Artist Mesh Generation with Native UV Segmentation
• Abstract summary: We propose Strips as Tokens (SATO), a novel framework with a token ordering strategy inspired by triangle strips.<n>By constructing the sequence as a connected chain of faces that explicitly encodes UV boundaries, our method naturally preserves the organized edge flow.<n>A key advantage of this formulation is its unified representation, enabling the same token sequence to be decoded into either a triangle or quadrilateral mesh.
• Score: 84.90920018424036
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Recent advancements in autoregressive transformers have demonstrated remarkable potential for generating artist-quality meshes. However, the token ordering strategies employed by existing methods typically fail to meet professional artist standards, where coordinate-based sorting yields inefficiently long sequences, and patch-based heuristics disrupt the continuous edge flow and structural regularity essential for high-quality modeling. To address these limitations, we propose Strips as Tokens (SATO), a novel framework with a token ordering strategy inspired by triangle strips. By constructing the sequence as a connected chain of faces that explicitly encodes UV boundaries, our method naturally preserves the organized edge flow and semantic layout characteristic of artist-created meshes. A key advantage of this formulation is its unified representation, enabling the same token sequence to be decoded into either a triangle or quadrilateral mesh. This flexibility facilitates joint training on both data types: large-scale triangle data provides fundamental structural priors, while high-quality quad data enhances the geometric regularity of the outputs. Extensive experiments demonstrate that SATO consistently outperforms prior methods in terms of geometric quality, structural coherence, and UV segmentation.

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