4 citations · 4 across the 3 of their papers we have counts for
5 papers
TriFold: Folding irregular 3D Gaussians into structured latents for 3D Scene Generation
Yun Wang, Chiyu Wang, Fan Jiang +5
Recent progress in 3D generation has motivated growing interest in compact generative representations of complex 3D scenes. For native 3D Gaussian scenes, however, learning such re…
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…
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…