collaborators

5 papers

cs.CV2026

Ultra-fast Neural Inference for Stochastic Gaussian Splatting Denoising

Chenxiao Hu, Hao Zhang, Yanchen Zhang +3

Stochastic rendering eliminates the sorting and alpha blending process in Gaussian splatting, at the cost of introducing spatial noise. Formulating temporal denoising over the pixe…

cs.GR2026

Occlusion-Point Reuse for Ray-Traced Ambient Occlusion and Shadow

Haojie Jin, Fujia Su, Zehui Lin +9

Ambient occlusion (AO) and soft shadows are critical visibility cues for spatial perception in real-time rendering. Hardware ray tracing provides a direct way to evaluate these eff…

cs.GR2026

MaterialClusterGS: Palette-Based Material Decomposition and Physically-Based Relighting with 2D Gaussian Splatting

Hao Zhang, Ang Li, Boyan Du +6

We present MaterialClusterGS, a palette-based material decomposition framework for 2D Gaussian Splatting that enables physically based relighting and material editing. Existing Gau…

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.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…