RePrompt：自动提示编辑，将人工智能生成的艺术细化到精确的表达
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions
摘要：
生成式人工智能模型已经显示出令人印象深刻的能力，可以通过文本提示生成图像，这有助于视觉艺术创作和自我表达的创造力。然而，目前还不清楚生成的图像如何精确地表达输入文本的上下文和情感。我们探索了人工智能生成图像的情感表达能力，并开发了RePrompt，这是一种自动方法，可以优化文本提示，以精确表达生成的图像。受众包编辑策略的启发，我们策划了直观的文本特征，例如名词的数量和具体性，并训练了一个代理模型来分析特征对人工智能生成图像的影响。通过对代理模型的模型解释，我们策划了一个规则来调整文本提示，以优化图像生成，从而实现精确的情感表达。我们进行了模拟和用户研究，结果表明RePrompt显著提高了AI生成图像的情感表达能力，尤其是对于负面情绪。
英文摘要：
Generative AI models have shown impressive ability to produce images with text prompts, which could benefit creativity in visual art creation and self-expression. However, it is unclear how precisely the generated images express contexts and emotions from the input texts. We explored the emotional expressiveness of AI-generated images and developed RePrompt, an automatic method to refine text prompts toward precise expression of the generated images. Inspired by crowdsourced editing strategies, we curated intuitive text features, such as the number and concreteness of nouns, and trained a proxy model to analyze the feature effects on the AI-generated image. With model explanations of the proxy model, we curated a rubric to adjust text prompts to optimize image generation for precise emotion expression. We conducted simulation and user studies, which showed that RePrompt significantly improves the emotional expressiveness of AI-generated images, especially for negative emotions.
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。
