6 papers
CVT-GS: Learning to Simplify 3D Gaussian Splatting with Centroidal Voronoi Tessellation
Bingxian Li, Yilong Li, Jingliang Peng +6
While 3D Gaussian Splatting (3DGS) has emerged as a powerful representation for real-time novel view synthesis, rendering high-fidelity scenes often relies on a massive number of G…
BlitzGS: City-Scale Gaussian Splatting at Lightning Speed
Zhongtao Wang, Huishan Au, Yilong Li +6
Large-scale 3D Gaussian Splatting underpins digital twins, simulation, and aerial mapping, yet city-scale training remains computationally expensive even with multi-GPU execution b…
GVGS: Gaussian Visibility-Aware Multi-View Geometry for Accurate Surface Reconstruction
Mai Su, Qihan Yu, Zhongtao Wang +5
3D Gaussian Splatting (3DGS) enables efficient rendering, yet accurate surface reconstruction remains challenging due to unreliable geometric supervision. Existing approaches predo…
ChronoGS: Disentangling Invariants and Changes in Multi-Period Scenes
Zhongtao Wang, Jiaqi Dai, Qingtian Zhu +8
Multi-period image collections are common in real-world applications. Cities are re-scanned for mapping, construction sites are revisited for progress tracking, and natural regions…
HUG: Hierarchical Urban Gaussian Splatting with Block-Based Reconstruction for Large-Scale Aerial Scenes
Mai Su, Zhongtao Wang, Huishan Au +5
3DGS is an emerging and increasingly popular technology in the field of novel view synthesis. Its highly realistic rendering quality and real-time rendering capabilities make it pr…
Neural Laplacian Operator for 3D Point Clouds
Bo Pang, Zhongtian Zheng, Yilong Li +2
The discrete Laplacian operator holds a crucial role in 3D geometry processing, yet it is still challenging to define it on point clouds. Previous works mainly focused on construct…