Generative Adversarial Networks with Enhanced Symmetric Residual Units for Single Image Super-Resolution

Author:

Wu Xianyu,Li Xiaojie,He Jia,Wu Xi,Mumtaz Imran

Publisher

Springer International Publishing

Reference17 articles.

1. Bruna, J., Sprechmann, P., Lecun, Y.: Super-resolution with deep convolutional sufficient statistics. Comput. Sci. (2015)

2. Dong, C., Chen, C.L., He, K., Tang, X.: Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 295–307 (2016)

3. Denton, E., Chintala, S., Szlam, A., Fergus, R.: Deep generative image modelsusing a Laplacian pyramid of adversarial networks. In: International Conference on Neural Information Processing Systems, pp. 1486–1494 (2015)

4. Goodfellow, I.J., et al.: Generative adversarial nets. In: International Conference on Neural Information Processing Systems, pp. 2672–2680 (2014)

5. Huang, J.B., Singh, A., Ahuja, N.: Single image super-resolution from transformed self-exemplars. In: Computer Vision and Pattern Recognition, pp. 5197–5206 (2015)

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