AI RESEARCH

GaussianGrow: Geometry-aware Gaussian Growing from 3D Point Clouds with Text Guidance

arXiv CS.CV

ArXi:2604.05721v1 Announce Type: new 3D Gaussian Splatting has nstrated superior performance in rendering efficiency and quality, yet the generation of 3D Gaussians still remains a challenge without proper geometric priors. Existing methods have explored predicting point maps as geometric references for inferring Gaussian primitives, while the unreliable estimated geometries may lead to poor generations. In this work, we