Is it possible to run a U-Net (like Pix2Pix) in reverse?

Original article was published by /u/alix992 on Deep Learning

Given that the nature of the input and output is kind of arbitrary, and it’s just the mapping that is presumed to be constant, is it possible to somehow run a trained network like Pix2Pix in reverse, to go from output to input?

Edit: I’m thinking something like invert the weights and layers… maybe it would be a case of defining a new model rather than ‘running’ the existing one in reverse per se… but is there some straightforward way of defining a meaningful network for the inverse mapping, given a trained network for the forward mapping?

submitted by /u/alix992
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