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Image Generation on MNIST 28x28 (test)

98.2F1 Score (8)MCL-GAN
82.39286.49690.694.704Jan 30, 2026

Evaluation results

MethodLinks
MCL-GAN2026.0198.29898.298
GMAN2026.0197.7896.5297.896.53
KL + DCGANarchitecture=DCGAN, divergence type=Kullback-Leibler2026.0196.1190.5896.290.5
TV + DCGANarchitecture=DCGAN, divergence type=Total Variation2026.0194.9792.839592.8
JS + DCGANarchitecture=DCGAN, divergence type=Jensen-Shannon2026.0194.7195.1994.6795.21
Hell2 + DCGANarchitecture=DCGAN, divergence type=Squared Hellinger2026.0193.8496.7593.8296.81
DCGANarchitecture=DCGAN2026.0193.5475.6693.8575.43
KLm (rank resolution)=50, divergence type=Kullback-Leibler2026.0191.5991.1191.6291.11
KLm (rank resolution)=20, divergence type=Kullback-Leibler2026.0190.590.2190.590.18
TVm (rank resolution)=50, divergence type=Total Variation2026.0188.8994.988.895.08
TVm (rank resolution)=20, divergence type=Total Variation2026.0188.0993.9188.0194.25
JSm (rank resolution)=50, divergence type=Jensen-Shannon2026.0187.7396.8487.697.09
JSm (rank resolution)=20, divergence type=Jensen-Shannon2026.0186.6496.1386.4896.32
Hell2m (rank resolution)=50, divergence type=Squared Hellinger2026.0183.8398.4383.6298.71
Hell2m (rank resolution)=20, divergence type=Squared Hellinger2026.018397.9282.8198.23