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KwaiMind achieves the strongest overall scores among evaluated open-source editors on ImgEdit, GEdit, both language splits of REDEdit, and Ecom-Bench visual quality, and the highest aggregate CTR ranking score among compared systems.
DM-Align is introduced, which derives a complementary gradient direction to guide the model toward human-preferred samples, and eliminates the need for multi-step reward evaluation and complex ODE-SDE conversions inherent in traditional RL.
DASH-OPD (Discrepancy-Aware Switching with Hysteresis for OPD) is proposed, the first agentic OPD method to perform adaptive, bidirectional executor switching and introduces hysteresis that prevents rapid switching triggered by transient discrepancy fluctuations.
Extensive experiments on both insertion and replacement demonstrate that TextRefine consistently outperforms the evaluated image editing baselines in textual fidelity, placement reliability, and glyph quality while better preserving source-image content.
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