Score matching with Langevin Sampling: a new contender to GANs
In short, this is a super cool approach to replace the discriminator in GANs with something that doesn't need to be trained and provably converges to the correct result."256×256 images cannot be done reliably without 8 V100 GPUs or more!"That's quite sad because that means this approach is far out of reach for any hobby researcher and for most universities.