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This model was trained with a synthetic complex data degradation scheme taking as input a real-life image and artificially degrading it by combining several degradations such as amongst other image noising (Gaussian, Poisson), image blurring and JPEG compression in a similar spirit as [1]
[1] Wang, Xintao, et al. “Real-esrgan: Training real-world blind super-resolution with pure synthetic data.” Proceedings of the IEEE/CVF international conference on computer vision. 2021.