CogBlender enables continuous multi-dimensional control over cognitive properties (valence, arousal, dominance, memorability) in text-to-image generation by creating discrete prompt variants and interpolating their velocity fields in flow-matching models.
arXiv:2511.19982 Aditya Khosla, Akhil S Raju, Antonio Torralba, and Aude Oliva
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CogBlender: Towards Continuous Cognitive Intervention in Text-to-Image Generation
CogBlender enables continuous multi-dimensional control over cognitive properties (valence, arousal, dominance, memorability) in text-to-image generation by creating discrete prompt variants and interpolating their velocity fields in flow-matching models.