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Paper · arXiv

PrintAnything: Learning an Intermediate Representation for 3D printing G-code Generation

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...

AuthorsSangmin Hong, Daniel Sungho Jung, Heewon Kim et al.
Primary categorycs.CV
Published30 July 2026
Last updated at source30 July 2026
cs.CV
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