3DGBGS：用于紧凑新视图合成的3D颗粒球高斯溅射

中文摘要 AI 辅助

三维高斯溅射（3DGS）通过显式高斯基元与可微光栅化实现高质量实时新视图合成。3DGS与2019年提出的颗粒球计算（GBC）在自适应表示上具有天然兼容性，3DGS的效率部分源于借鉴GBC生成原理的由粗到细按需优化过程。现有基于锚点的方法通常通过固定体素化从稀疏运动恢复结构（SfM）点云构建锚点，无法充分适应空间非均匀点分布，导致锚点数量、模型紧凑性与渲染质量间的权衡。为解决该问题，本文提出3DGBGS（3D颗粒球高斯溅射），一种用于新视图合成的紧凑锚点框架。3DGBGS将SfM点云自适应划分为3D颗粒球，用较大球紧凑表示平滑冗余区域，较小球保留复杂几何与局部细节。基于该表示，颗粒球锚点初始化（GBAI）用颗粒球中心初始化紧凑锚点位置，颗粒球尺度先验（GBSP）利用颗粒球半径为高斯生成提供局部尺度先验。在四个基准上的实验表明，3DGBGS分别减少初始和最终锚点37.1%与10.0%，平均模型存储降低9.8%，同时保持相当的渲染质量。

英文摘要

Three-dimensional Gaussian Splatting (3DGS) enables high-quality real-time novel-view synthesis through explicit Gaussian primitives and differentiable rasterization. 3DGS and Granular Ball Computing (GBC), proposed in 2019, share a natural compatibility in adaptive representation. The efficiency of 3DGS partly stems from a coarse-to-fine and on-demand refinement process that draws on the generation principle of GBC. This connection motivates us to further introduce adaptive granular ball organization into anchor-based 3DGS. Existing anchor-based methods typically construct anchors from sparse SfM point clouds through fixed voxelization, which cannot adequately adapt to spatially non-uniform point distributions and leads to a trade-off among anchor count, model compactness, and rendering quality. To address this issue, we propose 3DGBGS (3D Granular Ball Gaussian Splatting), a compact anchor-based framework for novel-view synthesis. 3DGBGS adaptively partitions SfM point clouds into 3D granular balls, using larger balls to compactly represent smooth and redundant regions and smaller balls to preserve complex geometry and local details. Based on this representation, Granular Ball Anchor Initialization (GBAI) uses granular ball centers to initialize compact anchor positions, while the Granular Ball Scale Prior (GBSP) exploits granular ball radii to provide local scale priors for Gaussian generation. Experiments on four benchmarks show that 3DGBGS reduces initial and final anchors by 37.1% and 10.0%, respectively, and model storage by 9.8% on average, while maintaining comparable rendering quality.

发表机构

• Chongqing University of Posts and Telecommunications（重庆邮电大学）
• Chongqing Ant Consumer Finance Co., Ltd.（重庆蚂蚁消费金融有限公司）

机构由 AI 辅助整理，请以论文原文为准。