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cs.CV2026
CogBlender: Towards Continuous Cognitive Intervention in Text-to-Image Generation
Shengqi Dang, Yi He, Jiaying Lei +2
Beyond conveying semantic information, images also possess cognitive properties that elicit specific psychological responses from viewers, such as memory encoding or emotional reac…
cs.CV2025
EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model
Shengqi Dang, Yi He, Long Ling +3
Recent research shows that emotions can enhance users' cognition and influence information communication. While research on visual emotion analysis is extensive, limited work has b…
cs.CV2025
DensiCrafter: Physically-Constrained Generation and Fabrication of Self-Supporting Hollow Structures
Shengqi Dang, Fu Chai, Jiaxin Li +3
The rise of 3D generative models has enabled automatic 3D geometry and texture synthesis from multimodal inputs (e.g., text or images). However, these methods often ignore physical…