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Computer Science > Computer Vision and Pattern Recognition

arXiv:2407.04180 (cs)
[Submitted on 4 Jul 2024 (v1), last revised 11 Jul 2024 (this version, v2)]

Title:Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing

Authors:Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
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Abstract:G-code (Geometric code) or RS-274 is the most widely used computer numerical control (CNC) and 3D printing programming language. G-code provides machine instructions for the movement of the 3D printer, especially for the nozzle, stage, and extrusion of material for extrusion-based additive manufacturing. Currently there does not exist a large repository of curated CAD models along with their corresponding G-code files for additive manufacturing. To address this issue, we present SLICE-100K, a first-of-its-kind dataset of over 100,000 G-code files, along with their tessellated CAD model, LVIS (Large Vocabulary Instance Segmentation) categories, geometric properties, and renderings. We build our dataset from triangulated meshes derived from Objaverse-XL and Thingi10K datasets. We demonstrate the utility of this dataset by finetuning GPT-2 on a subset of the dataset for G-code translation from a legacy G-code format (Sailfish) to a more modern, widely used format (Marlin). SLICE-100K will be the first step in developing a multimodal foundation model for digital manufacturing.
Comments: Replaced "SLICE-100K" with "Slice-100K", added acknowledgements, and updated main figure to better capture shadows
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2407.04180 [cs.CV]
  (or arXiv:2407.04180v2 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2407.04180

Submission history

From: Anushrut Nirmal Jignasu [view email]
[v1] Thu, 4 Jul 2024 22:52:25 UTC (4,951 KB)
[v2] Thu, 11 Jul 2024 04:23:35 UTC (5,583 KB)
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