Q. Yang, R. Yang, J. Davis, D. Nist´er, 2007, Spatial-depth super resolution for range images, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8

W. Zou, P. C. Yuen, 2012, Very Low Resolution Face Recognition in Parallel Environment, IEEE Transactions on Image Processing, Vol. 21, pp. 327-340

K. Nasrollahi, T. B. Moeslund, 2014, Super-resolution: A comprehensive survey, In Machine Vision and Applications, Vol. 25, pp. 1423-1468

C. Dong, C. C. Loy, K. He, X. Tang, 2014, Learning a deep convolutional network for image super-resolution, In European conference on computer vision (ECCV), pp. 184-199

C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, W. Shi, 2017, Photo-realistic single image super-resolution using a generative adversarial network, Proceedings of the IEEE conference on computer vision and pattern recognition., pp. 4681-4690

I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, Y. Bengio, 2014, Generative adversarial nets, In Advances in Neural Infor- mation Processing Systems (NIPS), pp. 2672-2680

P. Isola, J. Y. Zhu, T. Zhou, A. A. Efros, 2017, Image- to-Image translation with conditional adversarial networks, Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1125-1134

T. Park, M. Y. Liu, T. C. Wang, J. Y. Zhu, 2019, GauGAN: semantic images synthesis with spatially adaptive normali- zation, Proeedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2337-2346

E. Agustsson, T. Radu, 2017, Ntire 2017 challenge on single image super-resolution: Dataset and study, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 126-135