提出统一生成开放与闭合表面的框架，解决服装建模通用性难题。
AnySurf: Any Surface Generation with Directed Edge
- 基于定向边增强的柔性双网格表示，保持面法向方向准确
- 在Outfit3D数据集上生成高质量网格，法向与拓扑错误显著降低
- 轻量级适配器仅增1%参数，适合工业级3D生成任务
开放表面在工业3D内容中广泛存在，支持渲染、物理模拟和几何编辑。服装是典型的开放表面类型，现有生成方法依赖缝制图样生成2D面板并拼接为3D形状，但这类专用设计缺乏可扩展性，难以推广至鞋类和配饰。主流基于场的3D生成器偏好封闭网格，常在开放表面生成双重层结构缺陷。尽管Trellis2采用无场表示，其开放表面结果仍存在法向与拓扑误差。本文提出AnySurf，一个统一框架，可生成开放、闭合及混合3D表面，并确保面法向准确。该框架基于定向边增强的柔性双网格（FDG-D），通过有向网格边保留法向信息。我们还提出ROS-FT后训练策略和仅增加1%参数的轻量级DE-Adapter，促进定向边学习，同时保持原有生成性能。此外，构建了包含工业级服装与闭合配饰的Outfit3D数据集。实验表明，该方法在网格质量与下游应用实用性方面均优于现有方案。
原文摘要 · Abstract (English)
Open surface components prevail in real industrial 3D content and support rendering, physical simulation and geometric editing. Garments serve as a typical open surface type, with numerous existing generation methods leveraging sewing patterns to generate 2D panels and stitch them into 3D shapes. Such domain-specific designs lack scalability and cannot generalize to shoes and accessories. Common field-based 3D generators prioritize watertight meshes and tend to create flawed double-layer structures on open surfaces. Though Trellis2 adopts field-free representation, its open surface results still contain normal and topology errors. We present AnySurf, a unified framework generating open, closed and hybrid 3D surfaces with accurate face orientation. Built on directed-edge enhanced Flexible Dual Grid (FDG-D), our representation retains normal direction information via oriented grid edges. We also propose ROS-FT post-training and a lightweight DE-Adapter with merely 1% extra parameters, facilitating directed edge learning while preserving original generation performance. We further construct Outfit3D dataset containing industrial garments and closed accessories. Our work transforms garment modeling into a universal 3D generation task. Experimental results demonstrate superior mesh quality and better practicality for downstream applications.
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