Pub Date : 2021-10-01DOI: 10.3724/sp.j.1089.2021.18763
Xun Zhou, Degang Yang, Ji Feng
{"title":"Single Image Super-Resolution Reconstruction Algorithm with Generative Adversarial Network Based on Multi-Size Convolution and Laplacian Filtering","authors":"Xun Zhou, Degang Yang, Ji Feng","doi":"10.3724/sp.j.1089.2021.18763","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18763","url":null,"abstract":"","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48030820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.3724/sp.j.1089.2021.18624
Feidao Cao, Huaici Zhao, Pengfei Liu, Peixuan Li
: In view of the problem of blurred edges in the traditional local filtering framework,
针对传统局部滤波框架中边缘模糊的问题，
{"title":"Local Filtering Framework Using Sorting Clustering","authors":"Feidao Cao, Huaici Zhao, Pengfei Liu, Peixuan Li","doi":"10.3724/sp.j.1089.2021.18624","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18624","url":null,"abstract":": In view of the problem of blurred edges in the traditional local filtering framework,","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48196859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.3724/sp.j.1089.2021.18815
Jiajing Zhang, Jinhui Yu, Yongwei Miao, Ren Peng
: Computational aesthetic evaluation of artworks has become an active research direction in recent years. However, current works mainly focus on oil paintings and photographs, there have been few attempts in quantitative aesthetic evaluation of Chinese ink paintings. Chinese ink painting uses ink blended with water and a variation of brushwork to depict picture, which differs significantly from photographs and oil paintings in visual features, semantic features, and aesthetic principles. Aiming at this problem, we propose a framework of self-adaptive computational aesthetic evaluation of Chinese ink paintings based on deep learning technique. Firstly, we build an aesthetic evaluation standard dataset for ink painting images. Sec-ondly, according to aesthetic principles of Chinese ink paintings, we design a multi-view parallel deep neural
{"title":"Self-Adaptive Computational Aesthetic Evaluation of Chinese Ink Paintings Based on Deep Learning","authors":"Jiajing Zhang, Jinhui Yu, Yongwei Miao, Ren Peng","doi":"10.3724/sp.j.1089.2021.18815","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18815","url":null,"abstract":": Computational aesthetic evaluation of artworks has become an active research direction in recent years. However, current works mainly focus on oil paintings and photographs, there have been few attempts in quantitative aesthetic evaluation of Chinese ink paintings. Chinese ink painting uses ink blended with water and a variation of brushwork to depict picture, which differs significantly from photographs and oil paintings in visual features, semantic features, and aesthetic principles. Aiming at this problem, we propose a framework of self-adaptive computational aesthetic evaluation of Chinese ink paintings based on deep learning technique. Firstly, we build an aesthetic evaluation standard dataset for ink painting images. Sec-ondly, according to aesthetic principles of Chinese ink paintings, we design a multi-view parallel deep neural","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48972316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.3724/sp.j.1089.2021.18682
Tingting Liu, Yunhai Wang, Changhe Tu, Peng Jiang
{"title":"Treemap Layout Based on Monte Carlo Tree Search","authors":"Tingting Liu, Yunhai Wang, Changhe Tu, Peng Jiang","doi":"10.3724/sp.j.1089.2021.18682","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18682","url":null,"abstract":"","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45537021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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