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A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)

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Hi, Just fix #7 the issue related to the naming modules. Thank you @taey16

Hi, When I train my model with the default training parameters on the cityscapes data sets I cant seem to produce your quality of images. I've attempted further training but...

RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. This probably means that you are not using fork to...

![image](https://user-images.githubusercontent.com/20907787/47897704-c1fb9900-dead-11e8-85cc-10493ff9a63e.png) when i follow the step to start my train, I find and modify this error : if lambdaIMG0, however, the following errors become more complex: ![image](https://user-images.githubusercontent.com/20907787/47897799-13a42380-deae-11e8-844b-f03e502bdaca.png) how can I...

The goal is just to get an output from trained pix2pixBEGAN.

Is it possible to get z and x value from both networks? Please instruct me, specially for z of generator. Like Input X --> Generator --> Output Z --> Generator-->...

Hello, Thanks for sharing codes. I was just wondering why you don't make BEGAN discriminator condition on input?

Thanks for the awesome work! I used pix2pix in tensorflow and had some good success. I tried the same set of images with your model, however the initial training doesn't...

I can run the code with one single gpu. Do you know how to use multi gpus to run the code?