[1] Zhu S, Zeng B, Liu G, et al. Image in-terpolation based on non-local geometric similarities[C]//2015 IEEE International conference on multimedia and expo (ICME). IEEE, 2015: 1-6.
[2] Ledig C, Theis L, Huszár F, et al. Photo-realistic single image super-resolution using a generative adversarial network[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 4681-4690.
[3] Soh J W, Park G Y, Jo J, et al. Natural and realistic single image super - resolution with explicit natural manifold discrimination[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019: 8122-8131.
[8] Shi W, Caballero J, Huszár F, et al. Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 1874-1883.
[12] Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[C]//Advances in neural information processing systems. 2017: 5998-6008.
[14] Cheng W, Zhao M, Ye Z, et al. Mfagan: A compression framework for memory-efficient on-device super-resolution gan[J]. arXiv preprint arXiv:2107.12679, 2021.
[16] Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial networks[J]. Communications of the ACM, 2020, 63(11): 139-144.