Thingi10K is a dataset of 3D-Printing Models. Specifically there are 10,000 models from featured “things” on thingiverse.com, suitable for testing 3D printing techniques such as structural analysis , shape optimization, or solid geometry operations.
We introduced this dataset in Points2Surf, a method that turns point clouds into meshes. It consists of objects from the ABC Dataset, a collection of Famous meshes and objects from Thingi10k. These are mostly single objects per file, sometimes a couple of disconnected objects. Objects from the ABC Dataset are CAD-models, the others are mostly statues with organic structures. We created realistic point clouds using a simulated time-of-flight sensor from BlenSor. The point clouds have typical… See the full description on the dataset page: https://huggingface.co/datasets/perler/ppsurf.
Breaking Bad is a large-scale dataset of fractured objects. The dataset contains around 10k meshes from PartNet and Thingi10k. For each mesh, 20 fracture modes are pre-computed and then simulate 80 fractures from them, resulting in a total of 1M breakdown patterns. This dataset serves as a benchmark that enables the study of fractured object reassembly and presents new challenges for geometric shape understanding.
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Thingi10K is a dataset of 3D-Printing Models. Specifically there are 10,000 models from featured “things” on thingiverse.com, suitable for testing 3D printing techniques such as structural analysis , shape optimization, or solid geometry operations.