I'm saying that neural networks are fundamentally lossy dimension reductions. From a high theoretic level that makes it irreversible (at least 100% or without any prior assumptions on the input data). Any estimation of inputs need some additional knowledge or presupposition. That makes the "inversion" problem very sensible to the specifics of your situation.

That being said, interesting posts in the thread.