Iirc it lost to diffusion models because it was extremely hard to train. Due to the two adversarial networks it was very prone to mode collapse, ie. the generat

Iirc it lost to diffusion models because it was extremely hard to train. Due to the two adversarial networks it was very prone to mode collapse, ie. the generator running ahead of the discriminator and destroying the training signal. Or other various fun ways the two networks could blow each other up.