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)…
GS-I: Gaussian Splatting for Surface Reconstruction from Illumination-Inconsistent Images
Tengfei Wang, Xin Wang, Yongmao Hou +3
Accurate geometric surface reconstruction, providing essential environmental information for navigation and manipulation tasks, is critical for enabling robotic self-exploration an…
PG-SAG: Parallel Gaussian Splatting for Fine-Grained Large-Scale Urban Buildings Reconstruction via Semantic-Aware Grouping
Tengfei Wang, Xin Wang, Yongmao Hou +3
3D Gaussian Splatting (3DGS) has emerged as a transformative method in the field of real-time novel synthesis. Based on 3DGS, recent advancements cope with large-scale scenes via s…
Tortho-Gaussian: Splatting True Digital Orthophoto Maps
Xin Wang, Wendi Zhang, Hong Xie +3
True Digital Orthophoto Maps (TDOMs) are essential products for digital twins and Geographic Information Systems (GIS). Traditionally, TDOM generation involves a complex set of tra…
MGFs: Masked Gaussian Fields for Meshing Building based on Multi-View Images
Tengfei Wang, Zongqian Zhan, Rui Xia +2
Over the last few decades, image-based building surface reconstruction has garnered substantial research interest and has been applied across various fields, such as heritage prese…
SfM on-the-fly: Get better 3D from What You Capture
Zongqian Zhan, Yifei Yu, Rui Xia +6
In the last twenty years, Structure from Motion (SfM) has been a constant research hotspot in the fields of photogrammetry, computer vision, robotics etc., whereas real-time perfor…
On-the-Fly SfM: What you capture is What you get
Zongqian Zhan, Rui Xia, Yifei Yu +2
Over the last decades, ample achievements have been made on Structure from motion (SfM). However, the vast majority of them basically work in an offline manner, i.e., images are fi…