AI RESEARCH
On the Generation and Mitigation of Harmful Geometry in Image-to-3D Models
arXiv CS.CV
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ArXi:2605.09606v1 Announce Type: cross Recent advances in image-to-3D models have significantly improved the fidelity and accessibility of 3D content creation. Such a powerful reconstruction capability that enables creative design can also be misused by the adversary to generate harmful geometries, which can be further fabricated via 3D printers and pose real-world risks. However, such risks are largely underexplored: it remains unclear how well current image-to-3D models can produce these harmful geometries, and whether existing safeguards can reliably prevent such generation.