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arXiv 2505.17951cs.CV

SplatCo:结构-视图协作高斯点溅射用于大规模无界场景的细节保留渲染

SplatCo: Structure-View Collaborative Gaussian Splatting for Detail-Preserving Rendering of Large-Scale Unbounded Scenes

Haihong Xiao, Jianan Zou, Yuxin Zhou, Ying He, Wenxiong Kang

AI总结:

SplatCo通过结构-视图协作机制,实现大规模无界场景的高保真渲染,结合全局与局部特征融合、视图修剪和共学模块,提升渲染质量和存储效率。

摘要:

我们提出了SplatCo,一种用于复杂户外场景高保真渲染的结构-视图协作高斯点溅射框架。SplatCo基于三个新颖组件:1)一个跨结构协作模块,将捕捉粗略场景布局的全局三平面表示与表示精细细节的局部上下文网格特征相结合。这种融合通过分层补偿机制实现,确保了全局空间意识和局部细节保留;2)一个跨视图修剪机制,根据结构一致性去除过拟合或不准确的高斯点,从而提高存储效率并防止渲染伪影;3)一个结构视图共学模块,将结构梯度与视图梯度聚合,从而更稳健地指导高斯几何和外观属性的优化。通过结合这些关键组件,SplatCo有效实现了大规模场景的高保真渲染。代码和项目页面可在https://splatco-tech.github.io上获得。

英文摘要:

We present SplatCo, a structure-view collaborative Gaussian splatting framework for high-fidelity rendering of complex outdoor scenes. SplatCo builds upon three novel components: 1) a cross-structure collaboration module that combines global tri-plane representations, which capture coarse scene layouts, with local context grid features representing fine details. This fusion is achieved through a hierarchical compensation mechanism, ensuring both global spatial awareness and local detail preservation; 2) a cross-view pruning mechanism that removes overfitted or inaccurate Gaussians based on structural consistency, thereby improving storage efficiency and preventing rendering artifacts; 3) a structure view co-learning module that aggregates structural gradients with view gradients,thereby steering the optimization of Gaussian geometric and appearance attributes more robustly. By combining these key components, SplatCo effectively achieves high-fidelity rendering for large-scale scenes. Code and project page are available at https://splatco-tech.github.io.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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