FADE: Frame-Aware Diffusion-Transformer-based Multi-Concept Erasure for Video Unlearning
arXiv:2610.03980v1 Announce Type: new Abstract: 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…
Read the full story at arXiv cs.CV ↗
Timeline · 1 report
- 2026-10-06 04:00 · arXiv cs.CV
FADE: Frame-Aware Diffusion-Transformer-based Multi-Concept Erasure for Video Unlearning