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
Vision-language models offer a promising approach for zero-shot anomaly detection (ZSAD). However, due to object-centric bias, normal and anomalous text prototypes exhibit a high semantic overlap. While enforcing strict orthogonality between them improves discriminability, mapping highly contiguous visual inputs onto d...
Man-Wen Yang, Le-Qian Ding, Yu Guo et al.· 0 citations
A VLM-native framework that detects cross-frame object correspondence and explicitly models object presence states, thereby enabling accurate and consistent visual grounding under streaming inputs, and introduces Streaming Grounding Reinforcement (SGR), which optimizes TempoGround with verifiable Grounding, Identity, a...
Le-Qian Ding, Jun-Ning Qiu, Man-Wen Yang 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
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