Submitted by SleekEagle t3_yfq1dv in singularity
HydrousIt t1_iu6mdk9 wrote
Reply to comment by cy13erpunk in new physics-inspired Deep Learning method generates images with electrodynamics by SleekEagle
A flow model is a type of generative AI. It is a method of unsupervised learning, meaning no labels are used for the prediction. A flow model uses a "flow" model, similar to the flow of water, to generate data from an assumed distribution. They are less VRAM intensive and faster to generate images, even though GANs are generally more realistic, with more details in the generated images. Anyone feel free to correct me and also ask more
cy13erpunk t1_iu8302r wrote
thnx =]
SleekEagle OP t1_iuedbiw wrote
Just to add - PFGMs are best in class for flow models. They perform comparably to GANs on the datasets used in the paper, which is pretty exciting.
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