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Table 1 Comparison of SSIM and PSNR on DRISHTI-GS dataset with different GAN models

From: Retinal image synthesis from multiple-landmarks input with generative adversarial networks

Methods SSIM PSNR
Pix2pix
 ResNet-6 vessel 0.8983 23.8254
 ResNet-6 MCML 0.8968 24.0820
 ResNet-9 vessel 0.8914 23.5531
 ResNet-9 MCML 0.9079 25.3665
 U-net vessel 0.8956 23.4331
 U-net MCML 0.9117 24.5544
Cycle-GAN
 ResNet-6 vessel 0.8770 22.4830
 ResNet-6 MCML 0.9019 23.8092
 ResNet-9 vessel 0.8774 21.9402
 ResNet-9 MCML 0.8907 23.1031
 U-net vessel 0.8984 22.7353
 U-net MCML 0.8877 23.0110
  1. Italic values are the best results