4 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…
Neural Centroidal Voronoi Tessellations
Jiacheng Xu, Bo Pang, Rui Xu +5
Centroidal Voronoi tessellation (CVT) is a fundamental primitive for high-quality surface sampling and isotropic remeshing in computer graphics. However, computing surface CVTs wit…
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
Jihe Li, Bo Pang, Peng-Shuai Wang
Recovering dense and uniformly distributed point clouds from sparse or noisy data remains a significant challenge. Recently, great progress has been made on these tasks, but usuall…
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…