CREA：一个用于创意图像编辑与生成的协作式多智能体框架
CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation
AI总结：
本文提出 CREA，一个模拟人类创作过程的多智能体协作框架，通过专门智能体动态协作完成构思、生成、批评与增强，首次定义创意编辑任务并在多样性、语义对齐和创意变换上超越现有方法。
摘要：
AI 图像领域的创造力仍然是一个根本性挑战，它不仅需要生成视觉上引人注目的内容，还需要具备为图像添加新颖、富有表现力且具有艺术丰富性的变换的能力。与依赖直接基于提示词修改的传统编辑任务不同，创意图像编辑需要一种自主的、迭代式的方法，以平衡原创性、连贯性和艺术意图。为了解决这一问题，我们提出了 CREA，一个模拟人类创作过程的新型多智能体协作框架。我们的框架利用一组专门的 AI 智能体，它们动态协作以构思、生成、批评和增强图像。通过广泛的定性和定量评估，我们证明 CREA 在多样性、语义对齐和创意变换方面显著优于最先进的方法。据我们所知，这是首个引入创意编辑任务的工作。
英文摘要：
Creativity in AI imagery remains a fundamental challenge, requiring not only the generation of visually compelling content but also the capacity to add novel, expressive, and artistically rich transformations to images. Unlike conventional editing tasks that rely on direct prompt-based modifications, creative image editing requires an autonomous, iterative approach that balances originality, coherence, and artistic intent. To address this, we introduce CREA, a novel multi-agent collaborative framework that mimics the human creative process. Our framework leverages a team of specialized AI agents who dynamically collaborate to conceptualize, generate, critique, and enhance images. Through extensive qualitative and quantitative evaluations, we demonstrate that CREA significantly outperforms state-of-the-art methods in diversity, semantic alignment, and creative transformation. To the best of our knowledge, this is the first work to introduce the task of creative editing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
