Re:Diffusion Models Beat GANs on Image Synthesis
by bearzoo on Wednesday May 12, 2021 @12:04AM
(#27126465)
Eh I feel like may be worth cutting some slack here..
It sounds like you’d like the title to be prefaced with “one time that”.
I don’t think anyone reading this says, hey gans are done for. I doubt the authors think that and I (clearly) don’t get the impression that’s what they mean.
Even the first sentence of the abstract:
> We show that diffusion models can achieve image sample quality superior to the current state-of-the-art generative models
Has the word current in front of state of the art generative models.
It sounds like you’d like the title to be prefaced with “one time that”.
I don’t think anyone reading this says, hey gans are done for. I doubt the authors think that and I (clearly) don’t get the impression that’s what they mean.
Even the first sentence of the abstract:
> We show that diffusion models can achieve image sample quality superior to the current state-of-the-art generative models
Has the word current in front of state of the art generative models.