Datasets › DeepCAD
DeepCAD
DeepCAD is a CAD dataset consisting of 179,133 models and their CAD construction sequences. It can be used to train generative models of 3D shapes.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| CAD Reconstruction | DeepCAD | cadrille IoU 90.2 | cadrille: Multi-modal CAD Reconstruction with Online... | col14m/cadrille | 11 | Compare |
| 3D Assembly | DeepCAD | A 1-1 mm | 19 Parameters Is All You Need: Tiny Neural Networks for... | abogatskiy/pelican-nano | 1 | Compare |
Papers archive 2025-07-28
12 shown of 12 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 35. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- DeepCAD
1 variant name, as the archive lists them.
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