Learning AND-OR Templates for Professional Photograph Parsing and Guidance

TL;DR

This paper introduces a hierarchical template learning framework to analyze, assess, and guide professional photography styles and techniques, enabling improved image quality evaluation and style transfer.

Contribution

It proposes a novel method for learning composite photography templates that capture artistic styles and techniques, facilitating quality assessment and guidance.

Findings

Learned templates effectively describe photography styles

Method can assess photographic quality similar to human judgment

Templates improve image generation and style transfer

Abstract

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.