SOURCE-LINKED INTELLIGENCE
AffectDelta: Beyond Emotion Labels for Image Editing
Emotion-driven image editing aims to evoke a specified target emotion by modifying emotion-relevant visual cues in a source image, while preserving the overall composition and semantic-structural coherence of the original scene. Existing scene-level editors typically specify the target with a single emotion category and often learn visual transformations from operation-level text instructions. A category collapses a mixed affective endpoint into one dominant label, while language cannot precisely quantify how coexisting emotions should increase, decrease, or remain stable. We introduce AffectD
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T13:56:59.000Z
First collected: 2026-09-21T05:32:15.665Z. This is not the publication date.