jhjacobsen/pytorch-i-revnet

Invertible up sampling

VitorGuizilini opened this issue · 1 comments

Is it possible to upsample a convolutional layer in an invertible way, so we can recover the original input resolution after encoding?

You can add auxiliary variables like we have done in our injective i-revnet