Fig. 12
From: VISGAB: Virtual staining-driven GAN benchmarking for optimizing skin tissue histology
The image represents the evaluation of the mode collapse risk probability behavior of respective GANs across 200 epochs. CycleGAN demonstrates the highest risk initially (50 epochs) and follows a gentle downwards trend till convergence. CUTGAN initializes at 40% risk but gradually improves diversity before finishing at 15% risk. On the contrary, DCLGAN displays mostly stable behavior with the highest diversity and lowest mode collapse risk compared to other GANs.
