Submitted by SleekEagle t3_ye0iw7 in MachineLearning
SleekEagle OP t1_itzkagl wrote
Reply to comment by andrew21w in [D] Poisson Flow Generative Models - new physics inspired generative model by SleekEagle
This is the first paper on this approach! I spoke to the authors and they're planning on continuing research down this avenue (personally I think dropping a PFGM as the base generator for Imagen and then keeping Diffusion Models for the super resolution chain would be very cool), so be on the lookout for more papers!
andrew21w t1_itzpm2n wrote
I would love to see this being used for image to image transformations. I can see plenty of potential for this
SleekEagle OP t1_itzqvcr wrote
True! Although it's unclear how to deal with img2img with different sizes
andrew21w t1_itzrk2g wrote
Honestly, if one could deal with that, in theory you could do that with latent codes, essentially making a better GAN or whatnot (assuming I got how these models work of course)
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