Comparison of networks as a function of λ. U-Net and MLP show the best performance due to their ability to capture long and short range dependencies. Enc-Dec and ConvOnly, which capture only long range and only short range dependencies, resp., also learn regular maps, but for a narrower range of λ. In all cases, maps become smooth for sufficiently large λ. Best viewed zoomed.