2026
Where Concept Erasure Should Occur: Concept–Layer Alignment in Text-to-Video Diffusion Models
ICML 2026poster
Text-to-video diffusion transformers encode semantic information unevenly across model depth, which constrains effective concept erasure. We identify a representational bottleneck, termed concept–layer topological alignment, under which target concepts exhibit higher separability at certain represen…