4 papers
GTLR-GS: Geometry-Texture Aware LiDAR-Regularized 3D Gaussian Splatting for Realistic Scene Reconstruction
Yan Fang, Jianfei Ge, Jiangjian Xiao
Recent advances in 3D Gaussian Splatting (3DGS) have enabled real-time, photorealistic scene reconstruction. However, conventional 3DGS frameworks typically rely on sparse point cl…
FloorSAM: SAM-Guided Floorplan Reconstruction with Semantic-Geometric Fusion
Han Ye, Haofu Wang, Yunchi Zhang +10
Reconstructing building floor plans from point cloud data is key for indoor navigation, BIM, and precise measurements. Traditional methods like geometric algorithms and Mask R-CNN-…
Large-Scale LiDAR-Inertial Dataset for Degradation-Robust High-Precision Mapping
Xiaofeng Jin, Ningbo Bu, Shijie Wang +3
This paper introduces a large-scale, high-precision LiDAR-Inertial Odometry (LIO) dataset, aiming to address the insufficient validation of LIO systems in complex real-world scenar…
Rendering Anywhere You See: Renderability Field-guided Gaussian Splatting
Xiaofeng Jin, Yan Fang, Matteo Frosi +3
Scene view synthesis, which generates novel views from limited perspectives, is increasingly vital for applications like virtual reality, augmented reality, and robotics. Unlike ob…