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About this paper
Boheng Zhang, Fan Yang, Jia Sun, Junlong Wu, Wenwu Ou, Yuting Hu, Zijun Li, Dewen Fan and 9 more
KwaiMind develops a commercial image editor that targets product identity, promotional text, and predicted shopper appeal. It combines task-specific training data with specialized rewards and consolidates policies into one model. On Ecom-Bench, it scores 3.67/5 and leads open-source editors in visual quality and learned CTR-ranking score, but proprietary editors score higher visually, and ranking is not actual click-through rate.
Summary by alphaXiv.
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