8 citations · 8 across the 5 of their papers we have counts for
5 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…
Learning the Geodesic Embedding with Graph Neural Networks
Bo Pang, Zhongtian Zheng, Guoping Wang +1
We present GeGnn, a learning-based method for computing the approximate geodesic distance between two arbitrary points on discrete polyhedra surfaces with constant time complexity…