用生成式方法在3D网格上自动切出对齐边缘的缝线。
MeshTailor: Cutting Seams via Generative Mesh Traversal
- 直接在网格图上生成缝线，避免投影误差和脆弱的对齐规则。
- 通过层次化序列化与双流编码器，实现从整体到细节的缝线生成。
- 适合需要高质量3D缝线布局的建模与动画设计人员。
我们提出 MeshTailor，首个面向3D网格的生成式框架，用于在三维表面上合成对齐边缘的缝线。与以往基于优化或外在学习的方法不同，MeshTailor 直接作用于网格图结构，消除投影伪影和脆弱的对齐启发式规则。我们引入 ChainingSeams，一种层级化的缝线图序列化方式，按从全局结构切割到局部细节的粗粒度到细粒度顺序排列。同时设计双流编码器，融合拓扑与几何上下文信息。基于此层次化表示与双流顶点嵌入，我们的 MeshTailor Transformer 使用自回归指针层，在局部邻域内逐顶点追踪缝线。大量实验表明，相比近期基于优化与学习的基线方法，MeshTailor 生成的缝线布局更连贯、结构更规整。
原文摘要 · Abstract (English)
We present MeshTailor, the first mesh-native generative framework for synthesizing edge-aligned seams on 3D surfaces. Unlike prior optimization-based or extrinsic learning-based methods, MeshTailor operates directly on the mesh graph, eliminating projection artifacts and fragile snapping heuristics. We introduce ChainingSeams, a hierarchical serialization of the seam graph that orders chains from global structural cuts down to local details in a coarse-to-fine manner, and a dual-stream encoder that fuses topological and geometric context. Leveraging this hierarchical representation and dual-stream vertex embeddings, our MeshTailor Transformer utilizes an autoregressive pointer layer to trace seams vertex-by-vertex within local neighborhoods. Extensive evaluations show that MeshTailor produces more coherent and structurally regular seam layouts compared to recent optimization-based and learning-based baselines.
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