Deep Learning of 3D Scanned Data

Project description: The general idea of this project is to investigate recent advances of geometric deep learning to leverage raw 3D scans to higher level representations. One of the main goals  is to infer Computer-Aided Design (CAD) models directly from 3D scans. To that aim, multiple aspects are being considered such as 3D scan refinement … Continued

FREE-3D: Feature-based Reverse Engineering Of 3D Scans

Project description: 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 … Continued

SHApe Recovery from Partial textured 3D scans (SHARP)

The 3rd SHApe Recovery from Partial textured 3D scans (SHARP) Workshop and Challenge will be held in conjunction with CVPR on June 19, 2022 (TBC). Research on data-driven 3D reconstruction of shapes has been very active in the past years thanks to the availability of large datasets of 3D models. However, current methods did not focus enough on two … Continued