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Mohamed Nabail

2 accepted papers

2021

BuildingNet: Learning To Label 3D Buildings

ICCV 2021poster

We introduce BuildingNet: (a) a large-scale dataset of 3D building models whose exteriors are consistently labeled, and (b) a graph neural network that labels building meshes by analyzing spatial and structural relations of their geometric primitives. To create our dataset, we used crowdsourcing com…

Cited by 49PDFcodeScholar
2020

Neural Contours: Learning to Draw Lines From 3D Shapes

CVPR 2020poster

This paper introduces a method for learning to generate line drawings from 3D models. Our architecture incorporates a differentiable module operating on geometric features of the 3D model, and an image-based module operating on view-based shape representations. At test time, geometric and view-based…

Cited by 44PDFcodeScholar