Name
Title | ||
|---|---|---|
Cali-sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches |
Abstract | ||
|---|---|---|
Image generation has received increasing attention because of its wide application in security and entertainment. Sketch-based face generation brings more fun and better quality of image generation due to supervised interaction. However, when a sketch poorly aligned with the true face is given as input, existing supervised image-to-image translation methods often cannot generate acceptable photo-realistic face images. To address this problem, in this paper we propose Cali-Sketch, a human-like-sketch to photo-realistic-image generation method. Cali-Sketch explicitly models stroke calibration and image generation using two constituent networks: a Stroke Calibration Network (SCN), which calibrates strokes of facial features and enriches facial details while preserving the original intent features; and an Image Synthesis Network (ISN), which translates the calibrated and enriched sketches to photo-realistic face images. In this way, we manage to decouple a difficult cross-domain translation problem into two easier steps. Extensive experiments verify that the face photos generated by Cali-Sketch are both photo-realistic and faithful to the input sketches, compared with state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2021.07.029 | Neurocomputing |
Keywords | DocType | Volume |
Face sketch-to-photo synthesis,Image translation,Neural network,Generative adversarial network | Journal | 460 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weihao Xia | 1 | 6 | 2.09 |
| Yang Yujiu | 2 | 6 | 4.51 |
| Jing-Hao Xue | 3 | 15 | 10.05 |