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GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond

Authors :
Ye, Chongjie
Nie, Yinyu
Chang, Jiahao
Chen, Yuantao
Zhi, Yihao
Han, Xiaoguang
Publication Year :
2024

Abstract

We present GauStudio, a novel modular framework for modeling 3D Gaussian Splatting (3DGS) to provide standardized, plug-and-play components for users to easily customize and implement a 3DGS pipeline. Supported by our framework, we propose a hybrid Gaussian representation with foreground and skyball background models. Experiments demonstrate this representation reduces artifacts in unbounded outdoor scenes and improves novel view synthesis. Finally, we propose Gaussian Splatting Surface Reconstruction (GauS), a novel render-then-fuse approach for high-fidelity mesh reconstruction from 3DGS inputs without fine-tuning. Overall, our GauStudio framework, hybrid representation, and GauS approach enhance 3DGS modeling and rendering capabilities, enabling higher-quality novel view synthesis and surface reconstruction.<br />Comment: Code: https://github.com/GAP-LAB-CUHK-SZ/gaustudio

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2403.19632
Document Type :
Working Paper