From the 1 of 4 linked papers with an AI index.
4 papers
Toward Annotation-Efficient Continuous Emotion Arousal Quantification via Group-Level EEG Dynamic Neural Synchrony
Guandong Pan, Yaqian Yang, Shi Chen +4
The paper proposes using group-level EEG dynamic neural synchrony as a signal to continuously quantify emotional arousal without needing per‑subject manual annotations, showing tha…
MooD: Perception-Enhanced Efficient Affective Image Editing via Continuous Valence-Arousal Modeling
Xinyi Yin, Yiduo Wang, Tingqi Hu +6
Affective Image Editing (AIE) aims to modify visual content to evoke targeted emotions. Although current approaches achieve impressive editing quality, they often overlook inferenc…
AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control
Shi Chen, Xuecheng Wu, Heli Sun +8
Affective Image Manipulation (AIM) aims to evoke specific emotions through targeted editing. Current image editing benchmarks primarily focus on object-level modifications in gener…
Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain
Guandong Pan, Yaqian Yang, Shi Chen +4
In affective neuroscience and emotion-aware AI, understanding how complex auditory stimuli drive emotion arousal dynamics remains unresolved. This study introduces a computational…