FRAN: feature-filtered residual attention network for realistic face sketch-to-photo transformation
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04352-z.pdf
Reference55 articles.
1. Yang S, Wang Z, Liu J, Guo Z (2021) Controllable sketch-to-image translation for robust face synthesis. IEEE Trans Image Process 30:8797–8810
2. Wan W, Yang Y, Lee HJ (2021) Generative adversarial learning for detail-preserving face sketch synthesis. Neurocomputing 438:107–121
3. Zhang Y, Yu L, Sun B, He J (2022) ENG-face: cross-domain heterogeneous face synthesis with enhanced asymmetric CycleGAN. Appl Intell 52:15295–15307. https://doi.org/10.1007/s10489-022-03302-z
4. Yu J, Xu X, Gao F, Shi S, Wang M, Tao D, Huang Q (2021) Toward realistic face photo–sketch synthesis via composition-aided GANs. IEEE Trans Cybern 51(9):4350–4362
5. Tang X, Wang X (2002) Face photo recognition using sketch. In: Proceedings of IEEE International Conference on Image Processing (ICIP), pp 257-260
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