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GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings
Spotting graphical symbols from the computer-aided design (CAD) drawings is essential to many industrial applications.
FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting
The proposed CNN-GCN method achieved state-of-the-art (SOTA) performance on the task of semantic symbol spotting, and help us build a baseline network for the panoptic symbol spotting task.
Complete Scene Reconstruction by Merging Images and Laser Scans
Experimental evaluations on two ancient Chinese architecture datasets demonstrate the effectiveness of our proposed complete scene reconstruction pipeline.
Visual Localization Using Sparse Semantic 3D Map
Accurate and robust visual localization under a wide range of viewing condition variations including season and illumination changes, as well as weather and day-night variations, is the key component for many computer vision and robotics applications.
Large Scale Urban Scene Modeling from MVS Meshes
There are two major steps in our framework: segmentation and building modeling.
