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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2410.06124 |
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| _version_ | 1866914968036704256 |
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| author | Jin, Xin Zhang, Liaoruxing Fan, Chenyu Yuan, Wenbo |
| author_facet | Jin, Xin Zhang, Liaoruxing Fan, Chenyu Yuan, Wenbo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_06124 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Learning AND-OR Templates for Professional Photograph Parsing and Guidance Jin, Xin Zhang, Liaoruxing Fan, Chenyu Yuan, Wenbo Computer Vision and Pattern Recognition 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. |
| title | Learning AND-OR Templates for Professional Photograph Parsing and Guidance |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2410.06124 |