There are a lot of super resolution python samples for frameworks such as Tensorflow or PyTorch. However, for MXNet samples were missing, except for the very simple example in the documentation.
There is a very good collection of pre-trained super resolution models in MXNet in the Wolfram Github repo. But again, a sample code for running the models is not provided. So, I created these two simple examples. The models I chose are among some of the best performers in 2019.