5 ms·
> too many people have pumped the internet full of mediocre generated content with no indication of provenance I don't know about the text models, but e.g. Sta
by Joker_vD 3y ago
> too many people have pumped the internet full of mediocre generated content with no indication of provenance
I don't know about the text models, but e.g. Stable Diffusion (and most of its derived checkpoints) has very recognizable looks.
By the way, does anyone know if such generative models could be used as classifiers, answering the "what's the probability that this input was generated by this model" question? That'd help solving the "obtaining quality training data" problem: use the data that has low probability of being generated by any of the most popular models. It's not like people started to produce less hand-made content anyhow!
- waveBidder 3y agothe previous generation of image generation, GANs (generative adversarial networks) was actually done by pairing a discriminator trying to tell if the image was generated or not, and a generator.