AI RESEARCH
Neighbor-Aware Localized Concept Erasure in Text-to-Image Diffusion Models
arXiv CS.CV
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ArXi:2603.25994v1 Announce Type: new Concept erasure in text-to-image diffusion models seeks to remove undesired concepts while preserving overall generative capability. Localized erasure methods aim to restrict edits to the spatial region occupied by the target concept. However, we observe that suppressing a concept can unintentionally weaken semantically related neighbor concepts, reducing fidelity in fine-grained domains. We propose Neighbor-Aware Localized Concept Erasure (NLCE), a