Spectrally Normalized GAN is an AI model developed by Preferred Networks Inc, Ritsumeikan University and National Institute of Informatics (Japan), first published in February 2018. It works in the image generation domain, on tasks such as image generation.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 2.6M datapoints.
The reference paper has 4,967 citations.