CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations. (arXiv:2208.10555v1 [cs.CV])

3D reverse engineering is a long sought-after, yet not completely achieved
goal in the Computer-Aided Design (CAD) industry. The objective is to recover
the construction history of a CAD model. Starting from a Boundary
Representation (B-Rep) of a CAD model, this paper proposes a new deep neural
network, CADOps-Net, that jointly learns the CAD operation types and the
decomposition into different CAD operation steps. This joint learning allows to
divide a B-Rep into parts that were created by various types …

arxiv cad cv learning types