Preprint
Aug 2026
Unlocking the Potential of Image Editing via Concept Scaling and Dense Supervision
A comprehensive hierarchical taxonomy featuring over 1,000 fine-grained edit concepts is established and a dense supervision training strategy that synthesizes multiple non-interfering concepts into single image pairs is proposed that significantly enhances both training efficiency and overall model performance.
Long Cui, Xiaoqian Liu, Qi Qin et al.
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