AI RESEARCH
GameUIAgent: An LLM-Powered Framework for Automated Game UI Design with Structured Intermediate Representation
arXiv CS.AI
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ArXi:2603.14724v1 Announce Type: new Game UI design requires consistent visual assets across rarity tiers yet remains a predominantly manual process. We present GameUIAgent, an LLM-powered agentic framework that translates natural language descriptions into editable Figma designs via a Design Spec JSON intermediate representation. A six-stage neuro-symbolic pipeline combines LLM generation, deterministic post-processing, and a Vision-Language Model (VLM)-guided Reflection Controller (RC) for iterative self-correction with guaranteed non-regressive quality.