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
OnPTQ is proposed, an on-policy framework that calibrates on trajectories visited by the current quantized policy, and derives a Decision--Consequence bound linking behavioral deviation to current policy discrepancy and action-conditioned future-value span.
Wen-Xiao Fan, Jing-Ling Fu, Li-Chen Ma et al.· 0 citations
SURE (Score-structure Utility Router for Embeddings), which improves UME-R1-7B by 1.5 points and yields consistent gains on two additional embedding models on MMEB-V2, without retraining, label-based policy selection, or extra VLM forward passes is proposed.
Wen-Xiao Fan, Jing-Ling Fu, Lu Liu 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
Observation Operator Diffusion is proposed, a unified framework that aligns both the supervision trajectory and feature refinement with the intrinsic recovery order of image structures and introduces GL-CoDA, a decoder that injects scale-specific Gaussian-Lanczos observations across decoding stages for coarse-to-fine f...
Shaojie Guo, Li-Chen Ma, Haoyang Tong et al.· 1 citation
Energy-Guided Flow Matching is introduced that explicitly models a coarse-to-fine generative trajectory by moving endpoint that evolves smoothly from low-frequency image to clean image and requires no adaptation of the backbone and training data.
Haoyang Tong, Yu He, Fang Li et al.· 0 citations
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