this post was submitted on 13 Apr 2024
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When you process an image through the same pipeline multiple times, artifacts will appear and become amplified.
What's happening here is just nothing like that. There is no amplifier. Images aren't run through a pipeline.
The process of training is itself a pipeline
Yes, but the model is the end of that pipeline. The image is not supposed to come out again. A model can "memorize" an image, but then you wouldn't necessarily expect an amplification of artifacts. Image generators are not supposed to d lossy compression, though the tech could be used for that.
If the image has errors that are hard to spot by the human eye and the model gets trained on these images, thoses errors that came about naturally on real data get amplified.
Its not a model killer but it is something to watch out for.
Yes, if you want realism. But that's just one of the things that people look for. Personal preference.
Invisible artifacts still cause result retardation, realistic or not. Like issue with fingers, shadows, eyes, colors etc.
"Retardation"? Seriously?