fade2 min read
FADE: Frame-Aware Diffusion-Transformer-based Multi-Concept Erasure for Video Unlearning
Text-to-video (T2V) diffusion models can reproduce copyrighted, violent, or explicit content, which motivates concept erasure: removing designated concepts from a pretrained model while preserving its behavior on everything else. Existing T2V erasure methods leave two problems open.
By Yuchen Li, Kaiyuan Deng, Chaoran Feng, Zhenyu Tang, Li YuanarXiv - cs.CV (CV)
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Originally published by arXiv - cs.CV (CV) on Oct 6, 2026.
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