3 ms·
> But you are not capable of reproducing from your mind something that is in that artists' style, after that viewing. I am capable of doing this. > If you sho
by spywaregorilla 3y ago
> But you are not capable of reproducing from your mind something that is in that artists' style, after that viewing.
I am capable of doing this.
> If you show someone a painting and ask them to recreate it, even setting aside the skill gap, you do not get the same painting back. You get a different painting, with some overlap, with the "focus" of it being what the person paid the most attention to during their viewing.
same for ai models. in fact, more true for ai models. You'll have a much harder time recreating an image from popular models than from human memory.
> It makes all generated art have this very sterile, soulless feeling to it because these tiny choices that would otherwise be made by a person trying to illicit an effect are instead just the machine sort of shrugging and being like "well in most things I've seen where a woman is sitting this way, her hand is tilted this way" but it doesn't know why the hand is tilted or what that means for the subject, which means the hand-tilt might be applied to subjects for whom it makes absolutely no sense at all to tilt the hand.
this will surely age well
- Kim_Bruning 3y ago> this will surely age well People are already experimenting and/or deploying systems that run an LLM before doing text2image [1]. This helps a lot with 'understanding'. The next low-hanging fruit would then be to go back and improve the labeling used for training the image-generation models in the first place (using new multi-modal LLMs). [1] eg. the current GPT+ standard model will do Prompt -> GPT-4 -> DALL-E