Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning.

arXiv:2605.12122v3 Announce Type: replace-cross Abstract: Unlearning specific concepts in text-to-image diffusion models has become increasingly important for preventing undesirable content generation. Among prior approaches, sparse autoencoder (SAE)-based met