[1] I J GOODFELLOW, J POUGET-ABADIE, M MIRZA et al. Generative adversarial nets, 2672-2680(2014).
[2] G ANTIPOC, M BACCOUCHE, J L DUGELAY. Face aging with conditional generative adversarial networks, 2089-2093(2017).
[3] Rui HUANG, Shu ZHANG, Tianyu LI et al. Beyond face rotation: Global and local perception gan for photorealistic and identity preserving frontal view synthesis, 2458-2467(2017).
[4] L TRAN, Xi YIN, Xiaoming LIU. Disentangled representation learning gan for pose-invariant face recognition, 1283-1292(2017).
[5] Chuan LI, M WAND. Precomputed real-time texture synthesis with markovian generative adversarial networks, 702-716(2016).
[6] D ULAANOV, V LEBEDEV, A VEDALDI et al. Texture networks: feed-forward synthesis of textures and stylized images, 1349-1357(2016).
[7] P ISOLA, Junyan ZHU, Tinghui ZHOU et al. Image-to-image translation with conditional adversarial networks, 5967-5976(2017).
[8] A BROCK, J DONAHUE, K SIMONYAN. Large scale GAN training for high fidelity natural image synthesis. arXiv preprint arXiv, 11096(1809).
[9] C LDEIG, L THEIS, F HUSZSR et al. Photo-realistic single image super-resolution using a generative adversarial network, 105-114(2017).
[10] Zili YI, Hao ZHANG, Ping TAN et al. DualGAN: unsupervised dual learning for image-to-image translation, 2868-2876(2017).
[11] Junyan ZHU, T PARK, P ISOLA et al. Unpaired image-to-image translation using cycle-consistent adversarial networks, 2223-2232(2017).
[12] T KARRAS, S LAINE, T AILA. A style-based generator architecture for generative adversarial networks, 4401-4410(2019).
[13] Chao YANG, LIM Sernam. One-Shot domain adaptation for face generation, 5920-5929(2020).
[14] I GOODFELLOW. NIPS 2016 tutorial: Generative adversarial networks.
[15] M MIRZA, S OSINDERO. Conditional generative adversarial nets. arXiv preprint arXiv, 1411-1784(2014).
[16] Lichen ZHOU, Chuang ZHANG, Ming WU. D-LinkNet: linknet with pretrained encoder and dilated convolution for high resolution satellite imagery road extraction.
[17] Lin ZHANG, Lei ZHANG, Xuanqi MOU et al. FSIM: a feature similarity index for image qualtiy assessment. IEEE Transactions on Image Processing, 20, 2378-2386(2011).
