4 citations · 4 across the 4 of their papers we have counts for
5 papers
PocketSplat: Mobile Gaussian Reconstruction via World-Space Latent Allocatio
Wenzhi Guo, Xianda Chen, Dongxuan Chen +2
Mobile Gaussian reconstruction must satisfy two requirements: the reconstruction model must execute within a device resource envelope, and the resulting Gaussian asset must expose…
RL: Reasoning 3D Layouts from Relative Spatial Relations
Zhifeng Gu, Yuqi Wang, Bing Wang
Relative spatial relations provide a compact representation of spatial structure and are fundamental to relative spatial reasoning in 3D layout generation. Recent works leverage Mu…
PocketGS: High-Fidelity On-Device Training for 3D Gaussian Splatting
Wenzhi Guo, Guangchi Fang, Shu Yang +1
Although 3D Gaussian Splatting (3DGS) supports real-time rendering, training relies on offline geometry, long-horizon densification, and memory-intensive differentiation. We cast p…
Efficient Scene Modeling via Structure-Aware and Region-Prioritized 3D Gaussians
Guangchi Fang, Bing Wang
Reconstructing 3D scenes with high fidelity and efficiency remains a central pursuit in computer vision and graphics. Recent advances in 3D Gaussian Splatting (3DGS) enable photore…
Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians
Guangchi Fang, Bing Wang
In this study, we explore the challenge of efficiently representing scenes with a constrained number of Gaussians. Our analysis shifts from traditional graphics and 2D computer vis…