通过学习层次化可重构模板，自动解析摄影风格并指导图像创作。
Learning AND-OR Templates for Professional Photograph Parsing and Guidance
- 构建层次化可重配置图像模板框架，从摄影作品中学习视觉风格。
- 所学模板能准确描述摄影技法与风格，评估效果接近人类水平。
- 适用于摄影质量评估与图像生成引导，适合摄影师和内容创作者。
自摄影艺术发展以来，形成了许多被称为「模板」的视觉风格，这些风格源于一系列主题化、风格化的摄影作品。本文提出一种方法，通过学习复合模板来分析和总结这些摄影模板。我们设计了一个框架，从摄影作品中学习分层可重构的图像模板，以捕捉和表征其中使用的视觉风格。利用该方法，我们对照片的艺术质量进行了评估，并实现了摄影指导。此外，还利用学习到的模板在多个图像生成任务中提供指导。实验结果表明，所学模板能够有效描述摄影技巧与风格，且提出的评估方法在表现上接近人类判断。
原文摘要 · Abstract (English)
Since the development of photography art, many so-called "templates" have been formed, namely visual styles summarized from a series of themed and stylized photography works. In this paper, we propose to analysize and and summarize these 'templates' in photography by learning composite templates of photography images. We present a framework for learning a hierarchical reconfigurable image template from photography images to learn and characterize the "templates" used in these photography images. Using this method, we measured the artistic quality of photography on the photos and conducted photography guidance. In addition, we also utilized the "templates" for guidance in several image generation tasks. Experimental results show that the learned templates can well describe the photography techniques and styles, whereas the proposed approach can assess the quality of photography images as human being does.
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