Project description: In recent years, Artificial Intelligence (AI) has seen some incredible progress at completing tasks that were thought to be only possible by humans such as speech recognition, sentiment analysis, and even producing visual art. However, AI models still struggle to capture complex tasks that are constrained by different human and technical parameters. One … Continued
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
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
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