Commercial image editing requires product identity preservation, accurate text rendering, and user appeal alongside general editing quality. We present KwaiMind, an image editing system combining general capabilities with e-commerce specialization. An agent-based data engine maintains approximately 1.8 million high-qua...
Jun-Long Wu, Zi-Jun Li, Yu-Ting Hu et al.· 0 citations
Aligning video generative models to human preferences heavily relies on Reinforcement Learning (RL), which suffers from extensive computational overhead. Existing workflows typically treat RL and distillation as disconnected stages: applying RL before distillation incurs prohibitive computational costs, whereas applyin...
Jiu-Zhou Lin, Jun-Long Wu, Feilong Zuo et al.· 0 citations
Text editing in product posters entails inserting new text or replacing existing text while preserving product appearance, background content, and global composition. Despite recent progress in instruction-based image editing, general-purpose models remain unreliable in this setting: they often omit or incorrectly rend...
Honglie Wang, Jia Sun, Zijun Li et al.· 0 citations
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