Name
Abstract | ||
|---|---|---|
Facial attribute editing has mainly two objectives: 1) translating image from a source domain to a target one, and 2) only changing the facial regions related to a target attribute and preserving the attribute-excluding details. In this work, we propose a multi-attention U-Net-based generative adversarial network (MU-GAN). First, we replace a classic convolutional encoder-decoder with a symmetric ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JAS.2020.1003390 | IEEE/CAA Journal of Automatica Sinica |
Keywords | DocType | Volume |
Generative adversarial networks,Gallium nitride,Generators,Decoding,Task analysis,Image color analysis,Faces | Journal | 8 |
Issue | ISSN | Citations |
9 | 2329-9266 | 3 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ke Zhang | 1 | 3 | 0.70 |
| Yukun Su | 2 | 3 | 2.72 |
| Xiwang Guo | 3 | 65 | 6.29 |
| Liang Qi | 4 | 156 | 27.14 |
| Zhenbing Zhao | 5 | 3 | 0.36 |