AI RESEARCH
AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probe
arXiv CS.CV
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ArXi:2604.20936v1 Announce Type: cross We present AttentionBender, a tool that manipulates cross-attention in Video Diffusion Transformers to help artists probe the internal mechanics of black-box video generation. While generative outputs are increasingly realistic, prompt-only control limits artists' ability to build intuition for the model's material process or to work beyond its default tendencies.