发表机构
IPAI, Seoul National University; Seoul National University; Soongsil University; Kairoba Inc.（首尔大学 IPAI; 首尔大学; 崇实大学; Kairoba公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
PrintAnything框架无需网格重建，通过切片式点投影策略和G-plan图，直接从点云生成可执行3D打印G-code，实现无网格的实用3D打印流程。
AI 中文摘要
点云是最基础且应用最广泛的3D表示之一，是3D形状的最基本几何表示。然而，大多数现有3D打印流程需要水密网格作为输入，这阻碍了点云直接用于制造。常见的解决方案是从点云重建网格，但生成的网格常包含几何瑕疵，如错误面或拓扑不一致，难以修复，可能导致打印失败。为克服这些局限，我们提出PrintAnything，一个无需网格重建、直接从3D点云生成可执行3D打印G-code的新框架。为使点云能作为切片式刀具路径生成的直接输入，我们引入切片式点投影策略，将非结构化3D点云转换为与3D打印中熔融沉积建模逐层特性一致的切片对齐2D表示。为消除对网格的依赖并提供连接点云和G-code的统一表示，我们提出几何计划（G-plan）图，一种由占据图、区域图和流图组成的紧凑2D表示，编码3D打印刀具路径合成所需的几何与挤出特性。因此，我们提出的方法可直接从点云准确生成可打印G-code，实现实用的完全无网格3D打印流程，代码公开于该网址。
英文摘要
Point clouds are one of the most fundamental and widely used 3D representations, serving as the most basic geometric representation of 3D shapes. Nevertheless, most existing 3D printing pipelines require a watertight mesh as input, preventing the direct use of point clouds for fabrication. A common workaround is to reconstruct meshes from point clouds; however, the resulting meshes often contain geometric artifacts, such as incorrect faces or topological inconsistencies, that are difficult to repair and may lead to printing failures. To overcome these limitations, we propose PrintAnything, a novel framework that learns to produce executable 3D printing G-code directly from 3D point clouds without requiring mesh reconstruction. To enable point clouds to serve as direct input for slice-wise toolpath generation, we introduce a slice-wise point projection strategy that transforms unstructured 3D point clouds into slice-aligned 2D representations consistent with layer-by-layer nature of fused deposition modeling in 3D printing. To eliminate mesh dependency and provide a unified representation that bridges point clouds and G-code, we propose Geometric plan (G-plan) map, a compact 2D representation composed of occupancy, region, and flow maps that encode the geometric and extrusion properties required for toolpath synthesis in 3D printing. As a result, our proposed method accurately generates printable G-code directly from point clouds, enabling a practical and fully mesh-free pipeline for 3D printing. The code is publicly available at \href{https://github.com/Sangminhong/PrintAnything}{https://github.com/Sangminhong/PrintAnything}.
CommentsEuropean Conference on Computer Vision (ECCV) 2026
