1 |
Y. J. Choi, "Deep Learning Approach for Generating Photorealistic Facial Images," Department of Media Engineering, Sogang University Graduate School of Media Studies. Doctoral dissertation, 2017.
|
2 |
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozairy, A. Courville, and Y. Bengioz, "Generative Adversarial Nets," Advances in neural Information Processing Systems, pp.2672-2680, 2014.
|
3 |
Y. J. Cao, L. L. Jia, Y. X. Chen, N. Lin, C. Yang, and B. Zhang, "Recent Advances of Generative Adversarial Networks in Computer Vision," IEEE Access, Vol.7, pp.14985-15006, 2018.
DOI
|
4 |
M. Mirza and S. Osindero, "Conditional generative adversarial nets," https://arxiv.org/abs/1411.1784 2019.
|
5 |
Patterson, J. Zhao, M. Mathieu, and Y. Lecun, "Energy-based generative adversarial network," https://arxiv.org/pdf/1609.03126, 2019.
|
6 |
D. Berthelot, T. Schumm, and L. Metz, "BEGAN: Boundary Equilibrium Generative Adversarial Networks," arXiv: 1703.10717, 2019.
|
7 |
J. Dong, R. Yin, X. Sun, Q. Li, Y. Yang, and X. Qin, "Inpainting of Remote Sensing SST Images With Deep Convolutional Generative Adversarial Network," IEEE Geoscience and Remote Sensing Letters, Vol.16, No.2, pp.173-177, 2019.
DOI
|
8 |
M. Arjovsky, S. Chintala, and L. Bottou. "Wasserstein GAN," https://arxiv.org/abs/1701.07875 2019
|
9 |
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. Courville, "Improved training of Wasserstein GANs," https://arxiv.org/pdf/1606.0349 2019.
|
10 |
X. Mao, Q. Li, H. Xie, RYK. Lau, Z. Wang, and S. P. Smolley, "Least Squares Generative Adversarial Networks," The IEEE International Conference on Computer Vision (ICCV), pp.2794-2802, 2017.
|
11 |
J. canny, "A Computational Approach to Edge Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.PAMI-8, Iss.6, pp.679-697, 1986.
DOI
|