Neural rendering-based urban scene reconstruction methods commonly rely on images collected from driving vehicles with cameras facing and moving forward. Although these methods can successfully ...

Abstract: As 3D LiDAR point cloud and 2D images capture complementary information for autonomous driving, great efforts are made on 3D semantic segmentation using both modalities data. However, they ...

From immersive 3D gaming and ultrawide productivity to real-time translation, these smart glasses are taking wearable ...

Abstract: 3D map reconstruction plays a critical role in fields such as autonomous driving, urban planning, and virtual reality. Using 2D images from real-world settings, multi-view image-based 3D map ...