2 citations · 3 across the 5 of their papers we have counts for
6 papers
The P Dataset: Pixels, Points and Polygons for Multimodal Building Vectorization
Raphael Sulzer, Liuyun Duan, Nicolas Girard +1
We present the P dataset, a large-scale multimodal benchmark for building vectorization, constructed from aerial LiDAR point clouds, high-resolution aerial imagery, and vectori…
SimpliCity: Reconstructing Buildings with Simple Regularized 3D Models
Jean-Philippe Bauchet, Raphael Sulzer, Florent Lafarge +1
Automatic methods for reconstructing buildings from airborne LiDAR point clouds focus on producing accurate 3D models in a fast and scalable manner, but they overlook the problem o…
Concise Plane Arrangements for Low-Poly Surface and Volume Modelling
Raphael Sulzer, Florent Lafarge
Plane arrangements are a useful tool for surface and volume modelling. However, their main drawback is poor scalability. We introduce two key novelties that enable the construction…
3D detection of roof sections from a single satellite image and application to LOD2-building reconstruction
Johann Lussange, Mulin Yu, Yuliya Tarabalka +1
Reconstructing urban areas in 3D out of satellite raster images has been a long-standing and challenging goal of both academical and industrial research. The rare methods today ach…
SCR: Smooth Contour Regression with Geometric Priors
Gaetan Bahl, Lionel Daniel, Florent Lafarge
While object detection methods traditionally make use of pixel-level masks or bounding boxes, alternative representations such as polygons or active contours have recently emerged.…
Road Extraction from Overhead Images with Graph Neural Networks
Gaetan Bahl, Mehdi Bahri, Florent Lafarge
Automatic road graph extraction from aerial and satellite images is a long-standing challenge. Existing algorithms are either based on pixel-level segmentation followed by vectoriz…