AI RESEARCH
Dynamic Eraser for Guided Concept Erasure in Diffusion Models
arXiv CS.CV
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ArXi:2604.16483v1 Announce Type: new Concept erasure in Text-To-Image (T2I) diffusion models is vital for safe content generation, but existing inference-time methods face significant limitations. Feature-correction approaches often cause uncontrolled over-correction, while token-level interventions struggle with semantic granularity and context. Moreover, both types of methods are prone to severe semantic drift or even complete representation collapse. To address these challenges, we present Dynamic Semantic Steering (DSS), a lightweight