12 papers
On-the-Fly3R: Towards Robust Online 3D Reconstruction with Feed-Forward 3R Models for Large-Scale UAV Scenarios
Zhe Shen, Liyuan Lou, Yifei Yu +4
While feed-forward 3D reconstruction (3R) offers efficient end-to-end modeling, its application in large-scale UAV mapping is hindered by the prohibitive memory cost of Transformer…
LSGS-Loc: Towards Robust 3DGS-Based Visual Localization for Large-Scale UAV Scenarios
Xiang Zhang, Tengfei Wang, Fang Xu +2
Visual localization in large-scale UAV scenarios is a critical capability for autonomous systems, yet it remains challenging due to geometric complexity and environmental variation…
On-the-fly Feedback SfM: Online Explore-and-Exploit UAV Photogrammetry with Incremental Mesh Quality-Aware Indicator and Predictive Path Planning
Liyuan Lou, Wanyun Li, Wentian Gan +4
Compared with conventional offline UAV photogrammetry, real-time UAV photogrammetry is essential for time-critical geospatial applications such as disaster response and active digi…
SF-Recon: Simplification-Free Lightweight Building Reconstruction via 3D Gaussian Splatting
Zihan Li, Tengfei Wang, Wentian Gan +3
Lightweight building surface models are crucial for digital city, navigation, and fast geospatial analytics, yet conventional multi-view geometry pipelines remain cumbersome and qu…
A-TDOM: Active TDOM via On-the-Fly 3DGS
Yiwei Xu, Xiang Wang, Yifei Yu +6
True Digital Orthophoto Map (TDOM), a 2D objective representation of the Earth's surface, is an essential geospatial product widely used in urban management, city planning, land su…
Gaussian On-the-Fly Splatting: A Progressive Framework for Robust Near Real-Time 3DGS Optimization
Yiwei Xu, Yifei Yu, Wentian Gan +4
3D Gaussian Splatting (3DGS) achieves high-fidelity rendering with fast real-time performance, but existing methods rely on offline training after full Structure-from-Motion (SfM)…