5 citations · 9 across the 3 of their papers we have counts for
4 papers
Deep learning for 3D point cloud processing -- from approaches, tasks to its implications on urban and environmental applications
Zhenxin Zhang, Zhihua Xu, Yuwei Cao +5
Point cloud processing as a fundamental task in the field of geomatics and computer vision, has been supporting tasks and applications at different scales from air to ground, inclu…
SA-GS: Semantic-Aware Gaussian Splatting for Large Scene Reconstruction with Geometry Constrain
Butian Xiong, Xiaoyu Ye, Tze Ho Elden Tse +3
With the emergence of Gaussian Splats, recent efforts have focused on large-scale scene geometric reconstruction. However, most of these efforts either concentrate on memory reduct…
GauU-Scene V2: Assessing the Reliability of Image-Based Metrics with Expansive Lidar Image Dataset Using 3DGS and NeRF
Butian Xiong, Nanjun Zheng, Junhua Liu +1
We introduce a novel, multimodal large-scale scene reconstruction benchmark that utilizes newly developed 3D representation approaches: Gaussian Splatting and Neural Radiance Field…
GauU-Scene: A Scene Reconstruction Benchmark on Large Scale 3D Reconstruction Dataset Using Gaussian Splatting
Butian Xiong, Zhuo Li, Zhen Li
We introduce a novel large-scale scene reconstruction benchmark using the newly developed 3D representation approach, Gaussian Splatting, on our expansive U-Scene dataset. U-Scene…