This work proposes PosterText, a unified model trained with a four-stage curriculum, including text rendering pretraining, instruction-following training, reinforcement learning for preference alignment, and spatial guidance self-distillation for execution refinement that achieves competitive performance against existi...
Xiao-An Liu, Li-Chen Ma, Zipeng Guo et al.· 1 citation
This work presents TryOnReward, a fine-grained reward model tailored for VTON that significantly outperforms generic judges in human preference alignment, and when serving as the RFT reward function, it consistently yields human-preferred try-on results across multiple baselines.
Xue-Heng Li, Yong Liu, Xiao-Long Fu et al.· 0 citations
TransAnyText, a structured visual code framework that reformulates image text translation as generating renderable HTML patches from source images and target languages, is introduced, providing an effective, controllable, and editable solution for cross-border e-commerce image translation.
Xiao-An Liu, Li-Chen Ma, Zipeng Guo et al.· 0 citations
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