Funder
Youth Innovation Promotion Association of the Chinese Academy of Sciences
Fundamental Research Funds for the Central Universities
National Natural Science Foundation of China
Beijing Municipal Natural Science Foundation
National Key Research and Development Program of China
Reference40 articles.
1. I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, Y. Bengio, Generative adversarial nets, in: Advances in Neural Information Processing Systems, NeurIPS, 2014, pp. 2672–2680.
2. Y. Choi, M. Choi, M. Kim, J.-W. Ha, S. Kim, J. Choo, StarGAN: Unified generative adversarial networks for multi-domain image-to-image translation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2018, pp. 8789–8797.
3. A3GAN: An attribute-aware attentive generative adversarial network for face aging;Liu;IEEE Trans. Inf. Forensics Secur. (TIFS),2021
4. AttGAN: Facial attribute editing by only changing what you want;He;IEEE Trans. Image Process. (TIP),2019
5. T. Xiao, J. Hong, J. Ma, ELEGANT: Exchanging latent encodings with gan for transferring multiple face attributes, in: Proceedings of the European Conference on Computer Vision, ECCV, 2018, pp. 168–184.
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