Unpaired AFHQ dataset

[douhongkun]

I have tried using this repo on the AFHQ dataset (unpaired animal faces) and it did require changing the load_data() function, yeah. You will also need to create a new dataloader for your own dataset.

I trained the model to convert dogs to cats. However, when I ran inference from the following dog images, I got the corresponding cat images:

As you can see, there aren't really strong similarities between the input and output images like you would expect in something like CycleGAN. It's possible I just didn't train the model long enough, or the architecture was too small, or I used the wrong parameters. Either way, I haven't been able to get it to work for unpaired data, but I would be interested to hear if anyone has been able to get this to work, especially the authors.

Originally posted by @harveymannering in https://github.com/alexzhou907/DDBM/issues/3#issuecomment-2104686846

[IqraNosheen786]

Hello @douhongkun , I'm also trying to run this code on my own dataset but getting NaN values, Can you guide me on how you adjusted this code for another dataset?

[dang123454]

Hello, @IqraNosheen786 , I have the same problem, Have you solved it yet?

[chasecjg]

Hello @douhongkun , I'm also trying to run this code on my own dataset but getting NaN values, Can you guide me on how you adjusted this code for another dataset?

I have the same problem. Have you solved your problem?