Preprint
Aug 2026
Semantic Steering for Controllable Generation: Tuning-Free Concept Erasure in Multimodal Diffusion Transformers
This work proposes to erase concepts by directly manipulating the model's internal representations by operating exclusively on the sparse text-branch tokens and leveraging the straight sampling trajectory of rectified flow, achieving effective concept erasure with negligible overhead and without any training.
Qiao Li, Xiaomeng Fu, Yuanshu Zhao et al.
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