Abstract | ||
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Artistic style transfer is an image editing task that aims at repainting everyday photographs with learned artistic styles. Existing methods learn styles from either a single style example or a collection of artworks. Accordingly, the stylization results are either inferior in visual quality or limited in style controllability. To tackle this problem, we propose a novel Dual Style-Learning Artisti... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/CVPR46437.2021.00093 | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
Keywords | DocType | ISSN |
Visualization,Computer vision,Image color analysis,Controllability,Pattern recognition,Task analysis | Conference | 1063-6919 |
ISBN | Citations | PageRank |
978-1-6654-4509-2 | 0 | 0.34 |
References | Authors | |
0 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Haibo Chen | 1 | 0 | 1.69 |
Lei Zhao | 2 | 6 | 3.82 |
Zhizhong Wang | 3 | 3 | 4.12 |
Huiming Zhang | 4 | 0 | 1.69 |
Zhiwen Zuo | 5 | 3 | 3.11 |
Ailin Li | 6 | 0 | 4.39 |
Wei Xing | 7 | 64 | 16.54 |
Dongming Lu | 8 | 7 | 5.55 |