AI RESEARCH
InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation
arXiv CS.CV
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ArXi:2603.05898v1 Announce Type: new E-commerce product poster generation aims to automatically synthesize a single image that effectively conveys product information by presenting a subject, text, and a designed style. Recent diffusion models with fine-grained and efficient controllability have advanced product poster synthesis, yet they typically rely on multi-stage pipelines, and simultaneous control over subject, text, and style remains underexplored. Such naive multi-stage pipelines also show three issues: poor subject fidelity, inaccurate text, and inconsistent style.