activity
20222026
most citedCD: Fine-grained 3D Mesh Reconstruction With Twice Chamfer Distance

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.GR2026

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…

cs.CV2026

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…

cs.GR2025

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…

cs.GR2025

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…

cs.CV2022★ 2 cited

CD: Fine-grained 3D Mesh Reconstruction With Twice Chamfer Distance

Rongfei Zeng, Mai Su, Ruiyun Yu +1

Monocular 3D reconstruction is to reconstruct the shape of object and its other information from a single RGB image. In 3D reconstruction, polygon mesh, with detailed surface infor…