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

TL;DR
GauStudio is a modular framework that advances 3D Gaussian Splatting by introducing a hybrid representation and a novel surface reconstruction method, improving scene rendering and mesh quality.
Contribution
It provides a standardized, plug-and-play framework for 3D Gaussian Splatting, introduces a hybrid foreground and background model, and proposes GauS for high-fidelity mesh reconstruction without fine-tuning.
Findings
Reduces artifacts in outdoor scenes
Enhances novel view synthesis quality
Enables high-fidelity mesh reconstruction
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.
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Taxonomy
TopicsIndustrial Vision Systems and Defect Detection
