activity
20192026
most citedPoint Cloud Registration for LiDAR and Photogrammetric Data: a Critical Synthesis and Performance Analysis on Classic and Deep Learning Algorithms

57 citations · 105 across the 47 of their papers we have counts for

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53 papers · 1 filter

cs.CV2026

SkyAnchor: Updating Metric-scale Aerial 3D Gaussian Scenes from Unposed Ground-View Sequences

Zhuoxiao Li, Xinyi Liu, Taoyu Wu +8

We study how to update a pre-built aerial scene with a newly captured, unposed ground-view sequence. The aerial scene already contains a reliable metric Structure-from-Motion (SfM)…

cs.CV2026

SatSplat: Geometrically-Accurate Gaussian Splatting for Satellite Imagery

Shuang Song, Jiyong Kim, Rongjun Qin

High-resolution satellite imagery demands 3D reconstruction methods that deliver both speed and geometric accuracy. Recent adaptations of 3D Gaussian Splatting (3DGS) to satellite…

cs.CV2026

Feed-Forward Gaussian Splatting from Sparse Aerial Views

Dongli Wu, Zhuoxiao Li, Tongyan Hua +4

Reconstructing large-scale urban scenes from sparse aerial views is a crucial yet challenging task. Due to biased top-down and shallow-oblique camera poses, sparse aerial captures…

cs.CV2026

Olbedo: An Albedo and Shading Aerial Dataset for Large-Scale Outdoor Environments

Shuang Song, Debao Huang, Deyan Deng +4

Intrinsic image decomposition (IID) of outdoor scenes is crucial for relighting, editing, and understanding large-scale environments, but progress has been limited by the lack of r…

cs.CV2026

Accurate Point Measurement in 3DGS -- A New Alternative to Traditional Stereoscopic-View Based Measurements

Deyan Deng, Rongjun Qin

3D Gaussian Splatting (3DGS) has revolutionized real-time rendering with its state-of-the-art novel view synthesis, but its utility for accurate geometric measurement remains under…

cs.CV2026

AeroDGS: Physically Consistent Dynamic Gaussian Splatting for Single-Sequence Aerial 4D Reconstruction

Hanyang Liu, Rongjun Qin

Recent advances in 4D scene reconstruction have significantly improved dynamic modeling across various domains. However, existing approaches remain limited under aerial conditions…