AttentionBender applies 2D transforms to cross-attention maps in video diffusion transformers, producing distributed distortions and glitch aesthetics that reveal entangled attention mechanisms while serving as both an XAI probe and creative tool.
Abuzuraiq and Philippe Pasquier
3 Pith papers cite this work. Polarity classification is still indexing.
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citation-polarity summary
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2026 3roles
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Real-Time AttentionBender enables live, granular manipulation of self-attention, cross-attention, and feed-forward layers in video diffusion transformers during generation.
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.
citing papers explorer
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AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probe
AttentionBender applies 2D transforms to cross-attention maps in video diffusion transformers, producing distributed distortions and glitch aesthetics that reveal entangled attention mechanisms while serving as both an XAI probe and creative tool.
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Real-Time AttentionBender: Granular Interactive Network Bending of Video Diffusion Transformers
Real-Time AttentionBender enables live, granular manipulation of self-attention, cross-attention, and feed-forward layers in video diffusion transformers during generation.
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How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.