vae-celebA
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Variational auto-encoder trained on celebA . All rights reserved.
I'm training the model with different datasets and image sizes. I have noticed that if I use images larger than 64x64, all the losses become NaN after a certain point....
HI, Thank you for sharing your code. However, when I run the plain VAE code using the default parameters, I cannot reproduce the result you post on the REAMED page....
I understand that the author may not have time to maintain the code. For those who use the code, please be aware that the param `train_size` is not effective. It...
Why does the implementation differ from the paper? Is this per intention? The file `model_vae.py` for example has a final filter depth of 512, and uses a 5x5 kernel size....
Can you provide an example on how to reconstruct and generate new samples after training the network?
