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. Author manuscript; available in PMC: 2023 Apr 1.
Published in final edited form as: IEEE Trans Pattern Anal Mach Intell. 2022 Mar 4;44(4):1934–1948. doi: 10.1109/TPAMI.2020.3033882

Fig. 12. Performance of learning based techniques for various amount of crops.

Fig. 12.

We plot the PSNR and LPIPS of FlatNet-gen, LeADMM and Tikh+U-Net under various measurement sizes normalized with respect to full measurement size. We can see FlatNet-gen consistently outperforms other learning based methods for all crop sizes.