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Semantic Image Synthesis on Cityscapes (test)

0.517LPIPSGESCO
0.503480.594740.6860.77726Jun 7, 2023

Evaluation results

MethodLinks
GESCOPSNR=302023.060.517———————
GESCOPSNR=202023.060.523———————
GESCOPSNR=152023.060.542———————
SDMPSNR=302023.060.543———————
SPADEPSNR=1002023.060.546———————
CC-FPSEPSNR=1002023.060.546———————
SMISPSNR=1002023.060.546———————
SMISPSNR=302023.060.548———————
SDMPSNR=1002023.060.549———————
GESCOPSNR=102023.060.549———————
SDMPSNR=202023.060.555———————
CC-FPSEPSNR=302023.060.559———————
SMISPSNR=202023.060.561———————
OASISPSNR=1002023.060.561———————
OASISPSNR=302023.060.564———————
SPADEPSNR=302023.060.565———————
SMISPSNR=152023.060.574———————
OASISPSNR=202023.060.58———————
CC-FPSEPSNR=202023.060.581———————
GESCOPSNR=1002023.060.59———————
SDMPSNR=152023.060.599———————
SPADEPSNR=202023.060.603———————
SMISPSNR=102023.060.603———————
SDMPSNR=102023.060.606———————
GESCOPSNR=12023.060.609———————
OASISPSNR=152023.060.613———————
CC-FPSEPSNR=152023.060.62———————
GESCOPSNR=52023.060.62———————
Full imagePSNR=302023.060.623———————
SMISPSNR=52023.060.649———————
SDMPSNR=52023.060.655———————
OASISPSNR=102023.060.679———————
SMISPSNR=12023.060.68———————
Full imagePSNR=202023.060.684———————
Full imagePSNR=152023.060.713———————
SPADEPSNR=152023.060.726———————
Full imagePSNR=102023.060.73———————
Full imagePSNR=12023.060.738———————
Full imagePSNR=52023.060.747———————
SDMPSNR=12023.060.749———————
CC-FPSEPSNR=52023.060.753———————
OASISPSNR=52023.060.783———————
SPADEPSNR=102023.060.792———————
CC-FPSEPSNR=12023.060.812———————
SPADEPSNR=52023.060.824———————
SPADEPSNR=12023.060.827———————
OASISPSNR=12023.060.828———————
CC-FPSEPSNR=102023.060.855———————
CRN2020.12—————52.477.1104.7
pix2pixHDComparison baseline=pix2pix [21], Evaluation protocol=unlimited time2017.11—93.8——————
pix2pixHDComparison baseline=CRN [5], Evaluation protocol=unlimited time2017.11—86.2——————
pix2pixHD2020.12—————58.381.495
pix2pixHD (w/o VGG)Comparison baseline=pix2pix [21], Evaluation protocol=unlimited time, Loss components=without VGG perceptual loss2017.11—94.6——————
pix2pixHD (w/o VGG)Comparison baseline=CRN [5], Evaluation protocol=unlimited time, Loss components=without VGG perceptual loss2017.11—85.2——————
SIMS2020.12—————47.275.549.7
SPADEevaluation_protocol=User preference study (AMT)2019.03——63.653.6451.52———
SPADEfocal frequency loss (FFL)=false2020.12—————62.381.971.8
SPADE + FFLfocal frequency loss (FFL)=true2020.12—————64.282.559.5