arXiv 2604.158622026-04-17cs.CV

Splats in Splats++: 一种鲁棒且通用的3D高斯点云隐写框架

Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography

State Key Laboratory of Multimedia Information Processing and National Engineering Research Center of Visual Technology, School of Computer Science, Peking University（多媒体信息处理国家重点实验室和视觉技术国家工程研究中心、计算机科学学院，北京大学）；Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, School of Computer Science, Shanghai Jiao Tong University（信息安全集成管理技术上海市重点实验室、计算机科学学院，上海交通大学）；National Biomedical Imaging Center, College of Future Technology, Peking University（生物医学成像国家中心、未来技术学院，北京大学）；School of Software, Nanchang University（软件学院，南昌大学）；Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University（生物制药与健康工程研究院，清华大学深圳国际研究生院）

Yijia Guo, Wenkai Huang, Tong Hu, Gaolei Li, Yang Li, Yuxin Hong, Liwen Hu, Xitong Ling, Jianhua Li, Shengbo Chen, Tiejun Huang, Lei Ma

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AI总结：

本文提出一种统一的隐写框架，通过在3DGS表示中直接嵌入高容量3D/4D内容，实现安全高效的隐写，同时提升鲁棒性和通用性。

摘要：

3D Gaussian Splatting (3DGS) 近年来重新定义了3D重建范式，实现了视觉保真度与计算效率之间的空前平衡。随着其普及，保护显式3DGS资产的版权变得至关重要。然而，现有隐写框架难以兼顾安全性和高容量数据嵌入，常破坏原渲染管线或易受结构扰动影响。本文提出Splats in Splats++，一种统一且不依赖管线的隐写框架，可无缝嵌入高容量3D/4D内容至原生3DGS表示中。基于球谐函数频率分布的原理分析，我们提出一种重要性分级的SH系数加密方案，实现无感知嵌入而不影响原始表达能力。为根本解决导致信息泄露的几何歧义，我们引入Hash-Grid Guided Opacity Mapping机制。结合新颖的Gradient-Gated Opacity Consistency Loss，我们的方法强制原始场景与隐藏场景之间严格的空间-属性耦合，将离散属性映射投影到连续且抗攻击的潜在流形中。大量实验表明，我们的方法显著优于现有方法，实现高达6.28 db的信噪比提升，3倍更快的渲染速度，并在对抗性3D攻击（如GSPure）中表现出色。此外，我们的框架展现出卓越的通用性，可无缝泛化至2D图像隐写、4D动态场景隐写及多种下游任务。

英文摘要：

3D Gaussian Splatting (3DGS) has recently redefined the paradigm of 3D reconstruction, striking an unprecedented balance between visual fidelity and computational efficiency. As its adoption proliferates, safeguarding the copyright of explicit 3DGS assets has become paramount. However, existing invisible message embedding frameworks struggle to reconcile secure and high-capacity data embedding with intrinsic asset utility, often disrupting the native rendering pipeline or exhibiting vulnerability to structural perturbations. In this work, we present \textbf{\textit{Splats in Splats++}}, a unified and pipeline-agnostic steganography framework that seamlessly embeds high-capacity 3D/4D content directly within the native 3DGS representation. Grounded in a principled analysis of the frequency distribution of Spherical Harmonics (SH), we propose an importance-graded SH coefficient encryption scheme that achieves imperceptible embedding without compromising the original expressive power. To fundamentally resolve the geometric ambiguities that lead to message leakage, we introduce a \textbf{Hash-Grid Guided Opacity Mapping} mechanism. Coupled with a novel \textbf{Gradient-Gated Opacity Consistency Loss}, our formulation enforces a stringent spatial-attribute coupling between the original and hidden scenes, effectively projecting the discrete attribute mapping into a continuous, attack-resilient latent manifold. Extensive experiments demonstrate that our method substantially outperforms existing approaches, achieving up to \textbf{6.28 db} higher message fidelity, \textbf{3$\times$} faster rendering, and exceptional robustness against aggressive 3D-targeted structural attacks (e.g., GSPure). Furthermore, our framework exhibits remarkable versatility, generalizing seamlessly to 2D image embedding, 4D dynamic scene steganography, and diverse downstream tasks.

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。