AI RESEARCH

coDrawAgents: A Multi-Agent Dialogue Framework for Compositional Image Generation

arXiv CS.CV

ArXi:2603.12829v1 Announce Type: new Text-to-image generation has advanced rapidly, but existing models still struggle with faithfully composing multiple objects and preserving their attributes in complex scenes. We propose coDrawAgents, an interactive multi-agent dialogue framework with four specialized agents: Interpreter, Planner, Checker, and Painter that collaborate to improve compositional generation. The Interpreter adaptively decides between a direct text-to-image pathway and a layout-aware multi-agent process.