CPE uses nonlinear residual attention gates with anchoring and adversarial training to erase target concepts from text-to-image diffusion models while preserving remaining concepts better than prior fine-tuning methods.
Large image datasets: A pyrrhic win for computer vision? WACV, 2021
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Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate
CPE uses nonlinear residual attention gates with anchoring and adversarial training to erase target concepts from text-to-image diffusion models while preserving remaining concepts better than prior fine-tuning methods.