A successful series of experiments produced a good model that we could apply to old movies. However, it was still too slow to process video streaming. As it turns out, you can't just reduce the generator without suffering significant quality loss in the resulting model.
The knowledge distillation approach saved the day. In this method, a lighter model is trained to repeat the results of a heavier one. The team took a large number of real videos in low quality, processed them with the generative neural network from the previous step, and then trained the lighter network to produce the same output from the same frames. The result is a network with only slightly worse quality than the original one, but which works ten times faster. A TV channel in 576p resolution can be processed using a single NVIDIA Tesla V100 card.