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

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arxiv 2403.19632 v1 pith:PLHY7O55 submitted 2024-03-28 cs.CV

Chongjie Ye , Yinyu Nie , Jiahao Chang , Yuantao Chen , Yihao Zhi , Xiaoguang Han This is my paper · ORCID
classification cs.CV
keywords frameworkgaussiannovelgaustudioreconstructionrepresentationsplattingapproach
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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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Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction

    cs.CV 2024-12 conditional novelty 6.0 of 10

    A hybrid of deformable Gaussian splatting and dynamic neural SDF achieves state-of-the-art 3D mesh accuracy from monocular video while keeping view synthesis competitive.

  2. MVImgNet2.0: A Larger-scale Dataset of Multi-view Images

    cs.CV 2024-12 conditional novelty 6.0 of 10

    MVImgNet2.0 expands MVImgNet to 520k objects and 515 categories with higher-quality annotations, and experiments show it improves 3D reconstruction models.

  3. GSCodec Studio: A Modular Framework for Gaussian Splat Compression

    cs.CV 2025-06 conditional novelty 5.0 of 10

    GSCodec Studio is a modular open-source framework for Gaussian Splat compression, and its composed Static and Dynamic GSCodec pipelines report competitive rate-distortion results against several baselines.

  4. RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning

    cs.RO 2025-04 conditional novelty 5.0 of 10

    RoboVerse unifies seven simulators, 15 benchmarks, and 510.5k migrated trajectories into one platform with a four-level generalization benchmark, claiming better robot learning and sim-to-real transfer.

  5. Car-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction

    cs.CV 2025-01 conditional novelty 5.0 of 10

    Car-GS combines per-view Gaussians, a separate geometry opacity, and masked normal priors, achieving a mean Chamfer distance of 0.060 on a five-scene subset of 3DRealCar, down from 0.098 for the best prior method.

  6. InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction

    cs.RO 2024-12 conditional novelty 5.0 of 10

    InfiniteWorld presents an Isaac Sim based simulator with unified assets and four benchmarks, including scene graph exploration and social mobile manipulation, but reports zero success on the main social task.

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