4 papers
ReorgGS: Equivalent Distribution Reorganization for 3D Gaussian Splatting
Luchao Wang, Kaimin Liao, Qian Ren +3
A converged 3D Gaussian Splatting (3DGS) model may approximate the target scene while remaining poorly parameterized for further optimization. We identify this failure mode as \emp…
UniSem: Generalizable Semantic 3D Reconstruction from Sparse Unposed Images
Guibiao Liao, Qian Ren, Kaimin Liao +4
Semantic-aware 3D reconstruction from sparse, unposed images remains challenging for feed-forward 3D Gaussian Splatting (3DGS). Existing methods often predict an over-complete set…
StableGS: A Floater-Free Framework for 3D Gaussian Splatting
Luchao Wang, Qian Ren, Kaimin Liao +3
3D Gaussian Splatting (3DGS) reconstructions are plagued by stubborn ``floater" artifacts that degrade their geometric and visual fidelity. We are the first to reveal the root caus…
RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians
Bingling Li, Shengyi Chen, Luchao Wang +3
In this work, we explore the possibility of training high-parameter 3D Gaussian splatting (3DGS) models on large-scale, high-resolution datasets. We design a general model parallel…