3D高保真内容易被滥用，需按场景设计水印防御策略。
Position: 3D Gaussian Splatting Watermarking Should Be Scenario-Driven and Threat-Model Explicit
- 按实际使用场景定义攻击模型，明确水印安全目标。
- 构建参考框架，梳理现有水印方法与攻击假设的对应关系。
- 揭示传统扩频嵌入的优劣与关键权衡，指导未来设计。
随着机器学习与AI的发展，3D内容获取与创作快速扩展。3D Gaussian Splatting（3DGS）已成为一种高保真、实时的3D表示技术。如同千禧年之交数字音视频内容兴起时所面临的版权保护挑战，3D参数化结构的可编辑性使得未经授权的使用和传播更加容易，知识产权保护需求日益增长。本文提出，有效推进3D资产水印技术需明确安全目标与现实威胁模型，并借鉴过去数十年数字音视频版权保护的经验。为填补安全规范与评估的空白，我们倡导以场景驱动的方法，通过安全模型形式化对抗能力。基于此，我们构建了一个参考框架，系统组织现有方法，并阐明特定设计选择如何映射至相应的对抗假设。在此框架下，我们还分析了经典扩频嵌入方案，揭示其优势与局限性，强调其内在权衡。本工作旨在推动3D资产的有效知识产权保护。
原文摘要 · Abstract (English)
3D content acquisition and creation are expanding rapidly in the new era of machine learning and AI. 3D Gaussian Splatting (3DGS) has become a promising high-fidelity and real-time representation for 3D content. Similar to the initial wave of digital audio-visual content at the turn of the millennium, the demand for intellectual property protection is also increasing, since explicit and editable 3D parameterization makes unauthorized use and dissemination easier. In this position paper, we argue that effective progress in watermarking 3D assets requires articulated security objectives and realistic threat models, incorporating the lessons learned from digital audio-visual asset protection over the past decades. To address this gap in security specification and evaluation, we advocate a scenario-driven formulation, in which adversarial capabilities are formalized through a security model. Based on this formulation, we construct a reference framework that organizes existing methods and clarifies how specific design choices map to corresponding adversarial assumptions. Within this framework, we also examine a legacy spread-spectrum embedding scheme, characterizing its advantages and limitations and highlighting the important trade-offs it entails. Overall, this work aims to foster effective intellectual property protection for 3D assets.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。