Creo：从单次图像生成到渐进、协同创意构思
Creo: From One-Shot Image Generation to Progressive, Co-Creative Ideation
AI总结：
Creo是一种多阶段文本到图像系统，通过从粗糙草图到高分辨率输出的渐进过程，使用户能够在中间抽象层进行逐步修改，提升可控性、用户自主性和创意多样性。
摘要：
Creo是一种多阶段文本到图像系统，通过从粗糙草图到高分辨率输出的渐进过程，使用户能够在中间抽象层进行逐步修改，提升可控性、用户自主性和创意多样性。
英文摘要：
Text-to-image (T2I) systems enable rapid generation of high-fidelity imagery but are misaligned with how visual ideas develop. T2I systems generate outputs that make implicit visual decisions on behalf of the user, often introduce fine-grained details that can anchor users prematurely and limit their ability to keep options open early on, and cause unintended changes during editing that are difficult to correct and reduce users' sense of control. To address these concerns, we present Creo, a multi-stage T2I system that scaffolds image generation by progressing from rough sketches to high-resolution outputs, exposing intermediary abstractions where users can make incremental changes. Sketch-like abstractions invite user editing and allow users to keep design options open when ideas are still forming due to their provisional nature. Each stage in Creo can be modified with manual changes and AI-assisted operations, enabling fine-grained, step-wise control through a locking mechanism that preserves prior decisions so subsequent edits affect only specified regions or attributes. Users remain in the loop, making and verifying decisions across stages, while the system applies diffs instead of regenerating full images, reducing drift as fidelity increases. A comparative study with a one-shot baseline shows that participants felt stronger ownership over Creo outputs, as they were able to trace their decisions in building up the image. Furthermore, embedding-based analysis indicates that Creo outputs are less homogeneous than one-shot results. These findings suggest that multi-stage generation, combined with intermediate control and decision locking, is a key design principle for improving controllability, user agency, creativity, and output diversity in generative systems.
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。
