badabummbadabing t1_is4vg29 wrote
GANs may be losing some ground to diffusion models in generative tasks, but the idea of playing an adversarial game with a learnable loss function is more general than generating pretty pictures.
SleekEagle t1_is6a5ce wrote
Exactly! While they might be losing out in specific applications, the concept itself is still very valuable imo
BrotherAmazing t1_is8rh9t wrote
I agree with the assessment of adversarial games and their wide ranging utility, but to be fair, diffusion models can be applied to many tasks in which one requires a generative model; i.e., they’re useful in a much more wide ranging set of applications than just “generating pretty pictures”.
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