Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
<|reference_start|>Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing: 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.<|reference_end|>
@article{jignasu2024slice-100k:,
    title={Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing},
    author={Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone
  Rillo, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh
  Krishnamurthy},
    journal={arXiv preprint arXiv:2407.04180},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.04180},
    primaryClass={cs.CV}
}