在3D高斯点云中隐藏内容，不改变原始数据且更快更安全。
Splats in Splats: Robust and Effective 3D Steganography towards Gaussian Splatting
- 利用球谐函数系数分级加密，在不修改属性前提下嵌入隐藏内容。
- 相比现有方法提升5.31%场景保真度，渲染速度加快3倍。
- 适合需要版权保护又注重使用体验的3D内容创作者。
3D高斯点云（3DGS）在3D重建任务中表现出色，具备显式场景表示能力。随着其在3D重建与生成任务中的广泛应用，对3DGS资产的版权保护需求日益迫切。然而，现有3DGS版权保护技术忽视了资产的可用性，制约了实际部署。本文提出首个3DGS隐写框架「SPLATS IN SPLATS」，可在不修改任何属性的前提下，将3D内容嵌入3DGS自身。核心思路是深入分析球谐函数（SH），设计重要性分级的SH系数加密策略以嵌入隐藏的SH系数，并采用卷积自编码器建立原始高斯原语透明度与隐藏高斯原语透明度之间的映射关系。大量实验表明，本方法显著优于现有3D隐写技术：场景保真度提升5.31%，渲染速度提高3倍，同时保障安全性、鲁棒性与用户体验。
原文摘要 · Abstract (English)
3D Gaussian splatting (3DGS) has demonstrated impressive 3D reconstruction performance with explicit scene representations. Given the widespread application of 3DGS in 3D reconstruction and generation tasks, there is an urgent need to protect the copyright of 3DGS assets. However, existing copyright protection techniques for 3DGS overlook the usability of 3D assets, posing challenges for practical deployment. Here we describe splats in splats, the first 3DGS steganography framework that embeds 3D content in 3DGS itself without modifying any attributes. To achieve this, we take a deep insight into spherical harmonics (SH) and devise an importance-graded SH coefficient encryption strategy to embed the hidden SH coefficients. Furthermore, we employ a convolutional autoencoder to establish a mapping between the original Gaussian primitives' opacity and the hidden Gaussian primitives' opacity. Extensive experiments indicate that our method significantly outperforms existing 3D steganography techniques, with 5.31% higher scene fidelity and 3x faster rendering speed, while ensuring security, robustness, and user experience.
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