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20232026
most citedLearning the Geodesic Embedding with Graph Neural Networks

8 citations · 8 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.CV2026

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…

cs.GR2026

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…