Tomsen1410 t1_isjkhp1 wrote on October 16, 2022 at 2:02 PM

Unlike GANs however, diffusion models are trained in a supervised fashion (they need an image which gets denoised). Not sure how one would use them for unsupervised translation like e.g. CycleGAN.

MostlyRocketScience t1_isksjgk wrote on October 16, 2022 at 6:54 PM

Google has a nice paper on text-guided image2image translation by inferring the (random) init image and changing the prompt: https://github.com/google/prompt-to-prompt

SeucheAchat9115 t1_iskb0z2 wrote on October 16, 2022 at 5:04 PM

Maybe with artificial noise? But I am not familiar with how diffusion is really trained, maybe thats how diffusion works.