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by MauranKilom
1770 days ago
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That assumes that 96 bits of information are sufficient for (in some sense) uniquely describing the input image. Which, on the one hand, is of course the purpose of the system, but on the other is also clearly mathematically impossible (a 360x360 RGB8 image has 3110400 bits of information). That is, for each 96 bit neural hash value, there exist (on average) 2^3110304 unique input images that hash to that same value. Again, these are of course trivial facts, which do not rule out that image recovery (in a "get back something that looks similar to the original input" sense) is possible, but you should be aware that "similar" to the network need not mean "similar" to a human. |
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> but you should be aware that "similar" to the network need not mean "similar" to a human.
With techniques like GAN and DLSS, it is quite possible to generate some photo realistic image being enough similar to the original one, or at least leaking some private information.
[1]: https://www.hackerfactor.com/blog/index.php?/archives/929-On...