Recently, some efforts have been made for proposingAI algorithms that learn Computer-Aided Designs (CADs) of real objects. The idea of these methods is to scan objects using 3D scanners and conclude CAD procedures. However, current solutions either require the input of the designers or are limited to simple objects and are not compliant with modern CAD workflows. The FREE-3D project focus on automatically learning modern CAD procedures by learning parametric representations from 3D scans, leveraging their geometrical and topological structure, and exploiting the sequential nature of CAD procedures.
- Starting date: 01/05/2022
- Duration: 36 months + 12
- Funding source: FNR Bridges
- Researchers: Dr. Anis Kacem, Sk Aziz Ali, Ahmet Serdar Karadeniz, Prof. Djamila Aouada (PI)
- Partners: Artec3D
Elona Dupont, Kseniya Cherenkova, Anis Kacem, Sk Aziz Ali, Ilya Arzhannikov, Gleb Gusev, and Djamila Aouada, “CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations.” In IEEE International Conference of 3D Vision (3DV), 2022. [Project Page]
Ahmet Serdar Karadeniz, Sk Aziz Ali, Anis Kacem, Elona Dupont, and Djamila Aouada, “TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network.” In European Conference of Computer Vision Workshop WCPA (ECCVW), 2022. [Project Page]