research
∙
08/30/2023
SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines
Recent breakthroughs in geometric Deep Learning (DL) and the availabilit...
share
research
∙
04/13/2023
SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes
3D scanning as a technique to digitize objects in reality and create the...
research
∙
08/22/2022
CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations
3D reverse engineering is a long sought-after, yet not completely achiev...
research
∙
04/20/2021
Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation
In this paper, we propose a new deep learning-based approach for disenta...
research
∙
01/12/2021
PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D
We propose a Point-Voxel DeConvolution (PVDeConv) module for 3D data aut...
research
∙
10/26/2020
SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results
The SHApe Recovery from Partial textured 3D scans challenge, SHARP 2020,...
research
∙
10/23/2020
3DBooSTeR: 3D Body Shape and Texture Recovery
We propose 3DBooSTeR, a novel method to recover a textured 3D body mesh ...
research
∙
08/04/2018
