#pfgm — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #pfgm, aggregated by home.social.
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Generative AI models have made great strides in the past few years. Physics-inspired Diffusion Models have ascended to state-of-the-art performance in several domains, powering models like #Stable #Diffusion, #DALLE 2, and #magen.
Researchers from MIT have recently unveiled a new physics-inspired generative model, this time drawing inspiration from the field of electrostatics. This new type of model - the Poisson Flow Generative Model (#PFGM) - treats the data points as charged particles. By following the electric field generated by the data points, PFGMs can create entirely novel data. Below we see images of faces generated with a PFGM:
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Generative AI models have made great strides in the past few years. Physics-inspired Diffusion Models have ascended to state-of-the-art performance in several domains, powering models like #Stable #Diffusion, #DALLE 2, and #magen.
Researchers from MIT have recently unveiled a new physics-inspired generative model, this time drawing inspiration from the field of electrostatics. This new type of model - the Poisson Flow Generative Model (#PFGM) - treats the data points as charged particles. By following the electric field generated by the data points, PFGMs can create entirely novel data. Below we see images of faces generated with a PFGM: