AI RESEARCH
Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering
arXiv CS.CV
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ArXi:2604.27590v1 Announce Type: new Recent advances in 3D reconstruction and neural rendering,particularly 3D Gaussian Splatting, make it feasible and simple to edit 3D scenes and re-render them as highly realistic images. Therefore, security concerns arise regarding the authenticity of 3D content. Despite this threat, 3D fake detection remains largely unexplored in the literature, and most existing work is limited to 2D space. Therefore, in this paper, we formalize the concept of 3D fake detection and.