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View Code? Open in Web Editor NEWPyTorch implementation of JEM++: Improved Techniques for Training JEM
PyTorch implementation of JEM++: Improved Techniques for Training JEM
Hi!
Could you tell me, what parameters (n_steps and in_steps) did you use for generation from scratch with your checkpoints jempp_M10.pt? In README you showed gif file that demonstrates from scratch generation, but i couldn't find parameters of it in the paper.
Thank you for your interesting paper!
I have been trying to use Pytorch Lightning to reproduce your code from the public repository, where most of it is being transferred "as is". However, when I run the experiment on a different dataset (3x28x28 RGB images), with the same training configuration as CIFAR10, I get checkerboard artifacts that appear during sampling with your proposed PYLD.
Any reason why this is happening or might you know how I can solve this?
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