1.
2. 3. 4. 5. 6.

  • mindbleach@sh.itjust.works
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    2 months ago

    Nature shots have been cheating for a while, because most errors are still plausible.

    The major tell is how screen-space anything is. In real life, there’s very few angles where the top of a close thing stops at the bottom of a far thing… but neural networks aren’t modeling depth. Probably. So things are tangent or coincident all the dang time. Even in the patterns of grass and brush and whatnot, where the network does T-junction patterns like brickwork or cracked pottery, when it should be closer to woven or thatched.

  • ItsAFake@lemmus.org
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    2 months ago

    Are AI images I’m pretty sure, a lot of odd hashing of lines in some of those distant trees.

  • BlueÆther@no.lastname.nz
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    2 months ago
    0, very good, but I feel the grass on the bottom left is off
    1, the dead grass on the right looks off
    2, the trees to the top left look shifty 
    3, the dead sedg/grass in the center looks too even
    4, might be real
    5, the dead grass again looks off
    6, same location and time as 0, either the same seed or real
    
  • lad@programming.dev
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    2 months ago

    I agree with many others, 1, 3, 5 look most suspicious (assuming numbers precede pictures)

    Others seem to have heavy upscaling but it doesn’t tend to become too patterned. In 1, 3, 5 grass tends to become something like a fractal rather than grass, plus reflections are sometimes off (that is why 2 is a bit suspicious because of a small tree reflection, but maybe it’s just hard to see the original tree), and the branches tend to grow from multiple trees at the same time

  • Jaybob32@lemmy.ca
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    2 months ago

    1,3 and 5. They have that weird pattern in the grass and trees. However, it’s getting close. I think soon most people would never be able to tell.