Name
Abstract | ||
|---|---|---|
•Adversarial training can be applied to learn loss for arbitrary style transfer.•A fast feed forward network can be adversarially trained for arbitrary style transfer.•The stylization level can be controlled by automatic mask module and manual parameters.•Style transfer can be widely applied to multi-domain data. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cag.2020.01.001 | Computers & Graphics |
Keywords | DocType | Volume |
Style transfer,Adversarial networks,Deep learning,Image generation | Journal | 87 |
ISSN | Citations | PageRank |
0097-8493 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zheng Xu | 1 | 210 | 10.61 |
| Michael J. Wilber | 2 | 86 | 7.37 |
| Chen Fang | 3 | 415 | 14.87 |
| Aaron Hertzmann | 4 | 6002 | 352.67 |
| Hailin Jin | 5 | 1937 | 108.60 |