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README.md
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DATASET DESCRIPTION:
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The Geometric Breaks dataset consists of 3D models of 25,249 broken object models and their repair parts.
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DATASET STRUCTURE:
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The dataset is shared as the following ZIP files:
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- vehicles.zip: airplane and car objects
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- GSO.zip: GSO objects
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Each zip file when unzipped generates the folders corresponding to its object classes.
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Within each '[classID]/[objectID]/models' subfolder, models are stored as triangular meshes in the PLY file format (https://gamma.cs.unc.edu/POWERPLANT/papers/ply.pdf) as follows:
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- The waterproofed version of the original model is provided in the file 'model_c.ply', where 'c' stands for complete.
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DATASET DESCRIPTION:
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The Geometric Breaks dataset consists of 3D models of 25,249 broken object models and their repair parts.
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The broken models are generated by subtracting fracturing shapes from a total of 22,165 3D complete object models.
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Complete object models have been acquired from the Google Scanned Object (GSO) dataset
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(https://app.gazebosim.org/GoogleResearch/fuel/collections/Scanned%20Objects%20by%20Google%20Research), and 8 classes in
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the ShapeNetCore.v2 dataset (https://huggingface.co/datasets/ShapeNet/ShapeNetCore).
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To generate the dataset, we have waterproofed complete meshes, normalized them to a [-0.5,0.5]^3 cube, and
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generated broken shapes and repair counteparts by conducting Boolean subtraction with a fracturing shape from the
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waterproofed complete mesh. Fracturing shapes come from one of three geometric primitives: cube, icosphere, and subivided icosphere,
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randomly translated and rotated to generate breaks over various parts of the original model.
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Vertices on the primitive surface are randomly perturbed to simulate roughness.
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Since the subtraction process generates multiple fragments, the dataset also contains individual 3D models of the fragmented parts.
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Models from following ShapeNetCore.v2 classes are used:
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Jar (03593526), Bottle (02876657), Mug (03797390), Airplane (02691156), Chair (03001627), Car (02958343), Sofa (04256520), Table (04379243).
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DATASET STRUCTURE:
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The dataset is shared as the following ZIP files:
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- vehicles.zip: airplane and car objects
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- GSO.zip: GSO objects
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Each zip file when unzipped generates the folders corresponding to its object classes.
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For GSO.zip, a folder called GSO is created.
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For the remaining zip files, folders are created labeled by the the ShapeNetCore IDs of the 8 classes used in the dataset.
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Within each class folder, object models are stored in the subfolder hierarchy '[classID]/[objectID]/models/'.
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The value of '[classID]' corresponds to the ShapeNetCore ID or 'GSO'.
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The value of '[objectID]' corresponds to the ShapeNetCore object model ID for ShapeNetCore models and
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to the object model descriptor name with underscores as used to name object models in GSO.
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The use of the same ShapeNetCore class IDs, and ShapeNetCore or GSO object IDs enables
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one-to-one cross-referencing with the original ShapeNetCore and GSO datasets.
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Within each '[classID]/[objectID]/models' subfolder, models are stored as triangular meshes in the PLY file format (https://gamma.cs.unc.edu/POWERPLANT/papers/ply.pdf) as follows:
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- The waterproofed version of the original model is provided in the file 'model_c.ply', where 'c' stands for complete.
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