{"url":"/dataset/fusion-360-gallery","name":"Fusion 360 Gallery","full_name":null,"description_markdown":"The **Fusion 360 Gallery** Dataset contains rich 2D and 3D geometry data derived from parametric CAD models. The dataset is produced from designs submitted by users of the CAD package Autodesk Fusion 360 to the Autodesk Online Gallery. The dataset provides valuable data for learning how people design, including sequential CAD design data, designs segmented by modelling operation, and design hierarchy and connectivity data.\n\nSource: [https://github.com/AutodeskAILab/Fusion360GalleryDataset](https://github.com/AutodeskAILab/Fusion360GalleryDataset)\nImage Source: [https://github.com/AutodeskAILab/Fusion360GalleryDataset](https://github.com/AutodeskAILab/Fusion360GalleryDataset)","description_withheld":null,"homepage":"https://github.com/AutodeskAILab/Fusion360GalleryDataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/fusion-360-gallery-a-dataset-and-environment-1","title":"Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences","first_author":"Karl D. D. Willis","url":null},"license":null,"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"CAD Reconstruction","url":"/task/cad-reconstruction","datasets_with_task":"/datasets/task/cad-reconstruction"},{"name":"B-Rep face segmentation","url":"/task/b-rep-face-segmentation","datasets_with_task":"/datasets/task/b-rep-face-segmentation"}],"languages":[],"variants":["Fusion 360 Gallery"],"data_loaders":[{"repo":"https://github.com/AutodeskAILab/Fusion360GalleryDataset","url":"https://github.com/AutodeskAILab/Fusion360GalleryDataset","frameworks":[]},{"repo":"https://github.com/AutodeskAILab/BRepNet","url":"https://github.com/AutodeskAILab/BRepNet/blob/master/docs/building_your_own_dataset.md","frameworks":["pytorch"]}],"num_papers_in_archive":22,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/cad-reconstruction-on-fusion-360-gallery","task":"CAD Reconstruction","dataset_variant":"Fusion 360 Gallery","rows":11,"metrics":["IoU","Chamfer Distance","Chamfer Distance (median)","Invalid Ratio"],"first_row_in_archive_order":{"model":"cadrille","paper":"/paper/cadrille-multi-modal-cad-reconstruction-with","metrics":{"Chamfer Distance":"0.58","Chamfer Distance (median)":"0.17","Invalid Ratio":"0.2","IoU":"85.0"},"code_links":[{"title":"col14m/cadrille","url":"https://github.com/col14m/cadrille"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/cadrille-multi-modal-cad-reconstruction-with","title":"cadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning","date":"2025-05-28","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/cad-recode-reverse-engineering-cad-code-from","title":"CAD-Recode: Reverse Engineering CAD Code from Point Clouds","date":"2024-12-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/transcad-a-hierarchical-transformer-for-cad","title":"TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds","date":"2024-07-17","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/cad-signet-cad-language-inference-from-point","title":"CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention","date":"2024-02-27","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/draw-step-by-step-reconstructing-cad","title":"Draw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion.","date":"2024-01-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/hierarchical-neural-coding-for-controllable","title":"Hierarchical Neural Coding for Controllable CAD Model Generation","date":"2023-06-30","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/secad-net-self-supervised-cad-reconstruction","title":"SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations","date":"2023-03-19","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":5,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/extrudenet-unsupervised-inverse-sketch-and","title":"ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing","date":"2022-09-30","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/reconstructing-editable-prismatic-cad-from","title":"Reconstructing editable prismatic CAD from rounded voxel models","date":"2022-09-02","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/point2cyl-reverse-engineering-3d-objects-from","title":"Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders","date":"2021-12-17","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deepcad-a-deep-generative-network-for","title":"DeepCAD: A Deep Generative Network for Computer-Aided Design Models","date":"2021-05-20","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":0,"samples_unverified":7,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":5,"samples_harvested":22,"samples_ran":9,"samples_unverified":13,"pointer_only_for_licence":1,"papers_with_no_sample_that_ran":2,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}