參考文獻
【1】Xue J H, Titterington D M. Comment on 「On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes」[J]. Neural Processing Letters, 2008, 28(3):169.
【2】Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial nets[C]//Advances in neural information processing systems. 2014: 2672-2680.
【3】Radford A, Metz L, Chintala S. Unsupervised representation learning with deep convolutional generative adversarial networks[J]. arXiv preprint arXiv:1511.06434, 2015.
【4】Mirza M, Osindero S. Conditional generative adversarial nets[J]. arXiv preprint arXiv:1411.1784, 2014.
【5】Chen X, Duan Y, Houthooft R, et al. Infogan: Interpretable representation learning by information maximizing generative adversarial nets[C]//Advances in neural information processing systems. 2016: 2172-2180.
【6】Reed S, Akata Z, Yan X, et al. Generative adversarial text to image synthesis[J]. arXiv preprint arXiv:1605.05396, 2016.
【7】Denton E L, Chintala S, Fergus R. Deep generative image models using a laplacian pyramid of adversarial networks[C]//Advances in neural information processing systems. 2015: 1486-1494.
【8】Huang X, Li Y, Poursaeed O, et al. Stacked generative adversarial networks[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017, 2(4).
【9】Karras T, Aila T, Laine S, et al. Progressive growing of gans for improved quality, stability, and variation[J]. arXiv preprint arXiv:1710.10196, 2017.
【10】Mao X, Li Q, Xie H. AlignGAN: Learning to align cross-domain images with conditional generative adversarial networks[J]. arXiv preprint arXiv:1707.01400, 2017.
【11】Liu M Y, Tuzel O. Coupled generative adversarial networks[C]//Advances in neural information processing systems. 2016: 469-477.
【12】Shrivastava A, Pfister T, Tuzel O, et al. Learning from simulated and unsupervised images through adversarial training[C]//The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017, 3(4): 6.
【13】Elgammal A, Liu B, Elhoseiny M, et al. CAN: Creative adversarial networks, generating" art" by learning about styles and deviating from style norms[J]. arXiv preprint arXiv:1706.07068, 2017.
【14】Sbai O, Elhoseiny M, Bordes A, et al. DeSIGN: Design Inspiration from Generative Networks[J]. arXiv preprint arXiv:1804.00921, 2018.
【15】Huang R, Zhang S, Li T, et al. Beyond face rotation: Global and local perception gan for photorealistic and identity preserving frontal view synthesis[J]. arXiv preprint arXiv:1704.04086, 2017.
【16】Creswell A, Bharath A A. Adversarial training for sketch retrieval[C]//European Conference on Computer Vision. Springer, Cham, 2016: 798-809.
【17】Tulyakov S, Liu M Y, Yang X, et al. Mocogan: Decomposing motion and content for video generation[J]. arXiv preprint arXiv:1707.04993, 2017.
【18】Juvela L, Bollepalli B, Wang X, et al. Speech waveform synthesis from MFCC sequences with generative adversarial networks[J]. arXiv preprint arXiv:1804.00920, 2018.
【19】Yu L, Zhang W, Wang J, et al. SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient[C]//AAAI. 2017: 2852-2858.
【20】Isola P, Zhu J Y, Zhou T, et al. Image-to-Image Translation with Conditional Adversarial Networks[J]. 2016:5967-5976.
【21】Zhu J Y, Park T, Isola P, et al. Unpaired image-to-image translation using cycle-consistent adversarial networks[J]. arXiv preprint, 2017.
【22】Yi Z, Zhang H, Tan P, et al. Dualgan: Unsupervised dual learning for image-to-image translation[J]. arXiv preprint, 2017.
【23】Chang H, Lu J, Yu F, et al. Pairedcyclegan: Asymmetric style transfer for applying and removing makeup[C]//2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2018.
【24】Wei L, Zhang S, Gao W, et al. Person Transfer GAN to Bridge Domain Gap for Person Re-Identification[J]. arXiv preprint arXiv:1711.08565, 2017.
【25】Joo D, Kim D, Kim J. Generating a Fusion Image: One's Identity and Another's Shape[J]. arXiv preprint arXiv:1804.07455, 2018.
【26】Yang H, Huang D, Wang Y, et al. Learning face age progression: A pyramid architecture of gans[J]. arXiv preprint arXiv:1711.10352, 2017.
【27】Qian R, Tan R T, Yang W, et al. Attentive Generative Adversarial Network for Raindrop Removal from A Single Image[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 2482-2491.
【28】Chen Y, Lai Y K, Liu Y J. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 9465-9474.
【29】Azadi S, Fisher M, Kim V, et al. Multi-content gan for few-shot font style transfer[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018, 11: 13.
【30】Kupyn O, Budzan V, Mykhailych M, et al. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks[J]. arXiv preprint arXiv:1711.07064, 2017.
【31】Ledig C, Theis L, Huszár F, et al. Photo-realistic single image super-resolution using a generative adversarial network[J]. arXiv preprint, 2017.
【32】Bai Y, Zhang Y, Ding M, et al. Finding tiny faces in the wild with generative adversarial network[J]. CVPR. IEEE, 2018.