AI RESEARCH
Generation Navigator: A State-Aware Agentic Framework for Image Generation
arXiv CS.CV
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ArXi:2605.17969v1 Announce Type: new Despite rapid advances in text-to-image generation, faithfully realizing user intent remains challenging, often requiring manual multi-turn trial and error. To automate this process, existing systems rely on either simple prompt rewriting or closed-loop agents driven by hand-crafted rules, rather than learning to adapt actions to the evolving generation process.