The lens distortion models that are used extensively are all linear. Maybe instead of using a GAN you could use a simpler type of network, like a fully connected dense one, to effectively fit an unknown non-linear model. This could reflect additive noise from other types of distortion (e.g. due to sensor topography), or complex lens distortions (combination of multiple distortion effects).

I think the answer to everything is alien life

His interviews were really interesting in the beginning, but now I feel like I’m watching the same episode for the 40th time.