3DEditSafe: Defending 3D Editing Pipelines from Unsafe Generation
Recent advances in 3D generative editing, particularly pipelines based on 3D Gaussian Splatting (3DGS), have achieved high-fidelity, multi-view-consistent scene manipulation from text prompts. However, we find that these pipelines also introduce new safety risks when unsafe prompts produce edits that are propagated and optimized across views. In this work, we study unsafe generation in 3D editing pipelines and show that such behavior can lead to coherent, undesirable Not-Safe-For-Work (NSFW) content in the final 3D representation. To address this, we propose 3DEditSafe, a safety-regularized 3D editing framework that constrains unsafe semantic propagation during optimization. 3DEditSafe co...
| Authors | Nicole Meng, Zheyuan Liu, Meng Jiang et al. |
|---|---|
| Primary category | cs.GR |
| Published | 14 May 2026 |
| Last updated at source | 14 May 2026 |
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