CC3D

The CC3D dataset [1] of 3D CAD models was collected from a free online service for sharing CAD designs [2]. In total, the collected dataset contains 50k+ models, unrestricted to any category, with varying complexity from simple to highly detailed designs. These CAD models are converted to meshes, and each mesh was virtually scanned using a proprietary 3D scanning pipeline developed by Artec3D [3]. The typical size of the resulting scans is in the order of 100K points and faces, while the meshes converted from CAD models are usually more than an order of magnitude lighter. The availability of CAD-3D scan pairings, the high-resolution of meshes, and the variability of the models make the CC3D dataset stand out among other alternatives. Some samples are shown in the Figure below.

[1] Pvdeconv: Point-voxel deconvolution for autoencoding cad construction in 3d, Cherenkova, Kseniya, Djamila Aouada, and Gleb Gusev, 2020 IEEE International Conference on Image Processing (ICIP).

[2] “3dcontentcentral,” https://www.3dcontentcentral.com.

[3] “Artec3d,” https://www.artec3d.com/.

Requesting CC3D

The CC3D dataset is available for use by external parties. Due to agreements signed by the volunteer models, a license agreement must be requested and signed by the recipient and the research administration office director of your institution before the data can be provided. To make a request for the data, please contact us on Shapify3D (at) uni (dot) lu or use the following contact form.

Note:

(1) Once a license agreement is signed, we will give access to download the data.

(2) If this data is used, in whole or in part, the following paper must be referenced:

Pvdeconv: Point-voxel deconvolution for autoencoding cad construction in 3d, Cherenkova, Kseniya, Djamila Aouada, and Gleb Gusev, 2020 IEEE International Conference on Image Processing (ICIP).