FLASH3R: On-Board Incremental Dense 3D Aerial Reconstruction with Progressive Geometry Guided Visual Geometry Grounded Transformer

Zhihao Jia1, Han Hu1, Pengxin Gu1, Junfan Wang1, Yang Jia2, Bo Xiang2, Jiwei Deng3, Yulin Ding1, Qing Zhu1

1 Faculty of Geosciences and Engineering, Southwest Jiaotong University · 2 Sichuan Highway Planning, Survey, Design and Research Institute Ltd. · 3 China Railway Design Corporation

preprint · 2026

Background and Motivation

UAV photogrammetry is increasingly used for time-sensitive field tasks such as emergency response, disaster inspection, and infrastructure monitoring. In these scenarios, the basic requirement is not only to acquire 2D orthophotos, but to generate real-time, geo-referenced 3D information that can support deformation analysis, volume estimation, and rapid decision-making.

Conventional on-board pipelines are often limited to digital orthophoto maps (DOM), while full sparse-to-dense reconstruction remains computationally expensive for edge UAV platforms. Flash3R targets this gap by combining incremental SfM with feed-forward visual geometry inference, enabling dense 3D reconstruction directly on the UAV without depending on cloud computation.

  • Sparse-Dense Dual-Branch Parallel Reconstruction
  • Image-Level and Point-Level Dense-to-Sparse Alignment
  • Edge Device Deployment Validation

Pipeline

Flash3R processes successive UAV image batches through three compact stages:

  • Sparse Pipeline: geo-referenced SfM scaffold
  • Dense Pipeline: transformer-based dense geometry inference
  • Two-Level Alignment: image-level pose refinement and point-level MLS correction

Dataset Results

Reconstruction Process

Incremental Sparse Reconstruction
Aligned Dense Batches

Point Clouds

FLASH3R
COLMAP
VGGT-Long
InfiniteVGGT
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1.0

Output Products

Valley Dense Point Cloud
Dense Point Cloud
Valley DSM
Digital Surface Model (DSM)
Valley 3DGS
3DGS Novel View

On-Board Point Cloud Swipe Comparison

Point clouds reconstructed fully on-board a UAV-mounted NVIDIA Thor edge platform, compared against offline COLMAP dense reconstruction and LiDAR ground truth. Swipe the vertical divider to compare two point clouds side by side. Select which cloud to display on each side; the M3C2 distance statistics (as percentages of the 110 m flight altitude) for the selected pair are shown below the viewer.

Building
Flash3R Dense
LiDAR
M3C2: Mean 0.77% / Std 5.17% of 110 m flight altitude
Rubble
Flash3R Dense
LiDAR
M3C2: Mean 0.15% / Std 2.35% of 110 m flight altitude
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1.5

FLASH3R Point Cloud Gallery

Interactive 3D point clouds reconstructed by FLASH3R across different scenes. Select a dataset to explore.

FLASH3R Reconstruction Results
Dataset:
Method:
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Acknowledgements

This research was supported by the National Natural Science Foundation of China.