检测3D高斯点云是否被篡改，无需3D标注。
GS-Checker: Tampering Localization for 3D Gaussian Splatting
- 在3D高斯参数中加入篡改属性，直接标记可疑点。
- 通过对比高斯点间特征相似性，定位3D层面的篡改痕迹。
- 无需昂贵3D标签，适合内容安全与数字取证场景。
3D高斯点云（3DGS）编辑技术的进步使得3D场景的修改变得极为简便，但也带来了恶意篡改的风险。为防范此类问题，精准定位篡改区域至关重要。本文提出GS-Checker，一种用于识别3DGS模型中篡改区域的新方法。该方法将3D篡改属性嵌入3D高斯参数中，以指示其是否被修改；设计3D对比机制，通过比较高斯点间关键属性的相似性，在3D空间中发现篡改线索；并引入循环优化策略，逐步优化篡改属性，提升定位精度。值得注意的是，该方法无需依赖昂贵的3D标注进行监督。大量实验证明，所提方法能有效定位3DGS中的篡改区域。
原文摘要 · Abstract (English)
Recent advances in editing technologies for 3D Gaussian Splatting (3DGS) have made it simple to manipulate 3D scenes. However, these technologies raise concerns about potential malicious manipulation of 3D content. To avoid such malicious applications, localizing tampered regions becomes crucial. In this paper, we propose GS-Checker, a novel method for locating tampered areas in 3DGS models. Our approach integrates a 3D tampering attribute into the 3D Gaussian parameters to indicate whether the Gaussian has been tampered. Additionally, we design a 3D contrastive mechanism by comparing the similarity of key attributes between 3D Gaussians to seek tampering cues at 3D level. Furthermore, we introduce a cyclic optimization strategy to refine the 3D tampering attribute, enabling more accurate tampering localization. Notably, our approach does not require expensive 3D labels for supervision. Extensive experimental results demonstrate the effectiveness of our proposed method to locate the tampered 3DGS area.
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