PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback
Image-to-poster generation is a high-demand task requiring not only local adjustments but also high-level design understanding. Models must generate text, layout, style, and visual elements while preserving semantic fidelity and aesthetic coherence. The process spans two regimes: local editing, where ID-driven generation, rescaling, filling, and extending must preserve concrete visual entities; and global creation, where layout- and style-driven tasks rely on understanding abstract design concepts. These intertwined demands make image-to-poster a multi-dimensional process coupling entity-preserving editing with concept-driven creation under image-prompt control. To address these challenge...
| Authors | Sixiang Chen, Jianyu Lai, Jialin Gao et al. |
|---|---|
| Primary category | cs.CV |
| Published | 12 February 2026 |
| Last updated at source | 12 February 2026 |
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