Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing
Shichao Ma, Yunhe Guo, Jiahao Su, Qihe Huang, Zhengyang Zhou, Yang Wang
Abstract
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.
BibTeX
@inproceedings{aaai2026_talk2imageamulti,
title = {Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing},
author = {Shichao Ma and Yunhe Guo and Jiahao Su and Qihe Huang and Zhengyang Zhou and Yang Wang},
booktitle = {AAAI 2026},
year = {2026}
}