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. Author manuscript; available in PMC: 2022 Mar 29.
Published in final edited form as: Proc IEEE Int Conf Comput Vis. 2021 Oct;2021:3376–3385. doi: 10.1109/iccv48922.2021.00338

Figure 6:

Figure 6:

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.