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PromptMap: Supporting Exploratory Text-to-Image Generation

Published: October 3, 2025 | arXiv ID: 2510.02814v1

By: Yuhan Guo , Xingyou Liu , Xiaoru Yuan and more

Potential Business Impact:

Helps artists find good ideas faster.

Business Areas:
Visual Search Internet Services

Text-to-image generative models can be tremendously valuable in supporting creative tasks by providing inspirations and enabling quick exploration of different design ideas. However, one common challenge is that users may still not be able to find anything useful after many hours and hundreds of images. Without effective help, users can easily get lost in the vast design space, forgetting what has been tried and what has not. In this work, we first propose the Design-Exploration model to formalize the exploration process. Based on this model, we create an interactive visualization system, PromptMap, to support exploratory text-to-image generation. Our system provides a new visual representation that better matches the non-linear nature of such processes, making them easier to understand and follow. It utilizes novel visual representations and intuitive interactions to help users structure the many possibilities that they can explore. We evaluated the system through in-depth interviews with users.

Country of Origin
🇨🇳 🇬🇧 China, United Kingdom

Page Count
19 pages

Category
Computer Science:
Human-Computer Interaction