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A probabilistic or statistical model thought about as describing how the values in a sample is actually generated, and not only as a description or approximation.
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How do I resize output of a generative network to reconcile with the size of the real data?
I dont know why it would constraint you. But I think what you really need to do is to modify the structure of generator, maybe some parameters. If you build it with pytorch or tensorflow you can refer …
0
votes
Controlling details in images generated by Generative Adversarial Networks (GANs)
it is possible .But not in that way. you need to offer randomly sampled input e.g. from uniform distribution and let the GAN learn the real data distribution it self but not design the input manually …