评测AI生成圣经题材图像的准确性与艺术性
Seeing The Words: Evaluating AI-generated Biblical Art
- 构建超7000张圣经文本生成的图像数据集
- 用多模型评估生成图像在宗教与美学上的准确度
- 揭示AI在圣经语境还原中的优势与局限
近年来，大量人工智能工具可基于文本生成图像，引发讨论：AI能否根据《圣经》文本生成符合其历史背景与语境的准确图像？尽管已有少量尝试，但系统性评估仍匮乏。本文构建了一个包含超过7000张图像的大规模数据集，以圣经文本为提示词生成图像，并通过多种基于神经网络的工具在多个维度进行评估。研究从宗教与美学角度分析生成结果的准确性，最后探讨这些图像的应用潜力，并反思AI生成器的实际表现。
原文摘要 · Abstract (English)
The past years witnessed a significant amount of Artificial Intelligence (AI) tools that can generate images from texts. This triggers the discussion of whether AI can generate accurate images using text from the Bible with respect to the corresponding biblical contexts and backgrounds. Despite some existing attempts at a small scale, little work has been done to systematically evaluate these generated images. In this work, we provide a large dataset of over 7K images using biblical text as prompts. These images were evaluated with multiple neural network-based tools on various aspects. We provide an assessment of accuracy and some analysis from the perspective of religion and aesthetics. Finally, we discuss the use of the generated images and reflect on the performance of the AI generators.
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