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Yu He

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Preprint Aug 2026

PosterText: Towards Unified Visual Text Generation and Editing for E-commerce Poster

Automated e-commerce poster design requires both high-quality poster generation and flexible editing of existing designs. However, most existing methods either target end-to-end poster generation or follow multi-stage design pipelines, with limited capability for flexible and precise editing of existing posters. To ena...

Xiao-An Liu, Li-Chen Ma, Zipeng Guo et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Calibrate the Decisions That Change the Future: On-Policy Post-Training Quantization for Multimodal Large Language Models

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
#artificial intelligence Preprint Aug 2026

Is Reasoning Always Useful? Rethinking Reasoning Utility in Universal Multimodal Embeddings

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
Preprint Aug 2026

TransAnyText: Translating Arbitrary Text in E-commerce Images via Structured Visual Generation

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
Preprint Aug 2026

Pixel-Space Diffusion via Observation Operators

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
Preprint Aug 2026

Energy-Guided Flow Matching

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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