GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond
Chongjie Ye Yinyu Nie Jiahao Chang Yuantao Chen Yihao Zhi Xiaoguang Han
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.