Hierarchical Oil Painting Stylization with Limited Reference via Sparse Representation | |
Yang, Saboya ; Liu, Jiaying ; Yang, Shuai ; Xia, Sifeng ; Guo, Zongming | |
2015 | |
关键词 | IMAGE SUPERRESOLUTION SKETCH SYNTHESIS |
英文摘要 | Traditional image stylization is enforced by learning the mappings with an external paired training set. But in practice, people usually encounter a specific stylish image and want to transfer its style to their own pictures without the external dataset. Thus, we propose a hierarchical stylization model with limited reference particularly for oil paintings. First, the edge patch based dictionary is trained to build connections between images and limited reference, then reconstruct the structure layer. Due to the highly structured property of saliency regions, the saliency mask is extracted to integrate the structure layer and the texture layer with different weights. Hence, the advantages of both sparse representation based methods and example based methods are integrated. Moreover, the color layer and the surface layer are considered to make the output more consistent with the artist's individual oil painting style. Subjective results demonstrate the proposed method produces desirable results with state-of-art methods while keeping consistent with the artist's oil painting style.; CPCI-S(ISTP); yangsaboya@pku.edu.cn; liujiaying@pku.edu.cn; williamyang@pku.edu.cn; xsfatpku@pku.edu.cn; guozongming@pku.edu.cn |
语种 | 英语 |
出处 | IEEE 17th International Workshop on Multimedia Signal Processing (MMSP 2015) |
内容类型 | 其他 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/450332] |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Yang, Saboya,Liu, Jiaying,Yang, Shuai,et al. Hierarchical Oil Painting Stylization with Limited Reference via Sparse Representation. 2015-01-01. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论