تقرير
PromptCrafter: Crafting Text-to-Image Prompt through Mixed-Initiative Dialogue with LLM
| العنوان: | PromptCrafter: Crafting Text-to-Image Prompt through Mixed-Initiative Dialogue with LLM |
|---|---|
| المؤلفون: | Baek, Seungho, Im, Hyerin, Ryu, Jiseung, Park, Juhyeong, Lee, Takyeon |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence |
| الوصف: | Text-to-image generation model is able to generate images across a diverse range of subjects and styles based on a single prompt. Recent works have proposed a variety of interaction methods that help users understand the capabilities of models and utilize them. However, how to support users to efficiently explore the model's capability and to create effective prompts are still open-ended research questions. In this paper, we present PromptCrafter, a novel mixed-initiative system that allows step-by-step crafting of text-to-image prompt. Through the iterative process, users can efficiently explore the model's capability, and clarify their intent. PromptCrafter also supports users to refine prompts by answering various responses to clarifying questions generated by a Large Language Model. Lastly, users can revert to a desired step by reviewing the work history. In this workshop paper, we discuss the design process of PromptCrafter and our plans for follow-up studies. Comment: 5 pages, AI & HCI Workshop at the 40 International Conference on Machine Learning (ICML) 2023 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2307.08985 |
| رقم الأكسشن: | edsarx.2307.08985 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |