Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing
This addresses the need for more interactive and coherent image creation tools for users in creative applications, though it appears incremental as it builds on dialogue-based systems.
The paper tackles the problem of iterative, multi-turn image generation and editing, which existing single-turn or single-agent systems struggle with, and presents Talk2Image, a multi-agent system that outperforms baselines in controllability, coherence, and user satisfaction.
Text-to-image generation tasks have driven remarkable advances in diverse media applications, yet most focus on single-turn scenarios and struggle with iterative, multi-turn creative tasks. Recent dialogue-based systems attempt to bridge this gap, but their single-agent, sequential paradigm often causes intention drift and incoherent edits. To address these limitations, we present Talk2Image, a novel multi-agent system for interactive image generation and editing in multi-turn dialogue scenarios. Our approach integrates three key components: intention parsing from dialogue history, task decomposition and collaborative execution across specialized agents, and feedback-driven refinement based on a multi-view evaluation mechanism. Talk2Image enables step-by-step alignment with user intention and consistent image editing. Experiments demonstrate that Talk2Image outperforms existing baselines in controllability, coherence, and user satisfaction across iterative image generation and editing tasks.