Image Style Transfer Dataset
收藏arXiv2025-09-30 收录
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https://github.com/yisuanwang/Soulstyler
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资源简介：
该数据集旨在评估不同大型语言模型（LLMs）在图像风格转换的提示工程方面的有效性。它包含了用于测试风格转换方法的样本，这些样本展示了在保持原始内容的同时，风格转换的多样性和鲁棒性。该数据集的任务是基于文本描述的图像风格转换。
This dataset is designed to evaluate the effectiveness of various Large Language Models (LLMs) in prompt engineering for image style transfer. It contains samples for testing style transfer methods, which demonstrate the diversity and robustness of style transfer while preserving the original content. The task of this dataset is image style transfer based on text descriptions.
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