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목록concept erasing (1)
평범한 필기장
[평범한 학부생이 하는 논문 리뷰] EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers (ICML 2025)
Paper : https://arxiv.org/abs/2412.20413 EraseAnything: Enabling Concept Erasure in Rectified Flow TransformersRemoving unwanted concepts from large-scale text-to-image (T2I) diffusion models while maintaining their overall generative quality remains an open challenge. This difficulty is especially pronounced in emerging paradigms, such as Stable Diffusion (SD) v3arxiv.org0. Obstacles in migrati..
AI/Generative Models
2025. 7. 16. 11:18