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RevGAN implementation in PyTorch. We extend the Pix2pix and CycleGAN framework by exploring approximately invertible architectures in 2D and 3D. These architectures are approximately invertible by des...

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Sorry for disturbing you, because of the invalid link, https://github.com/tychovdo/RevGAN/blob/2af25e6a8176eaab3d424db45fb6ee2cfc5dc9a3/scripts/download_fcn8s.sh#L1 Could you please share "fcn-8s-cityscapes" weight to me? thank you! [email protected]

I see in the 3D code SRCNN and edsrF. First of all, are they the only ones? Second, what is the convention for parsing them? Should we say: e.g. --which_model_netG...

When I run the code in 3D, I get an error that says G is undefined on line 302 (network3D.py) I believe the following lines **296: self.F = self.build_conv_block(dim //...

I‘ve met some difficulties in applying RevGAN to my own 3D dataset. I will be grateful if you can offer a 3d-demo.

Hello! I want to know how to load 3D dataset(such as .mat or .nii)? Thanks!

Could you please provide the `invertible_layers` which is used in the class `Conv2dActNorm` of layers.py

Hi I was trying out the code, but it seems like there is some issues with the current code and the latest version of pytorch. When I run the code...

Hi! Could you please explain what is the purpose of ZeroInit in reversible blocks? Thanks! https://github.com/tychovdo/RevGAN/blob/2af25e6a8176eaab3d424db45fb6ee2cfc5dc9a3/models/networks3d.py#L233-L321

I notice that the memory usage for RevGAN seems very high for a network utilizing reversible networks. With 11 GB of memory I was only able to have a batchSize...