A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models
A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models explores A framework for precisely and robustly removing unwanted concepts from text-to-image models by representing concepts with diverse prompts, improving safety and model integrity.. Commercial viability score: 7/10 in Diffusion Models.
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