lightweight-gan
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FFHQ results are not matching as shown in the paper
I trained on 1000 FFHQ 1024x1024 images for a little more than 10 hours with all default settings. Following are some of the samples after training of the network:
These images look much worse than those shown in the paper. Anyone knows the reason? Help much appreciated.
I think the default model in the code is same in size as described in the paper
I trained on 1000 FFHQ 1024x1024 images for a little more than 10 hours with all default settings. Following are some of the samples after training of the network:
These images look much worse than those shown in the paper. Anyone knows the reason? Help much appreciated.
I think the default model in the code is same in size as described in the paper Can you share FFHQ datasets?Thank you very much!
Can you share FFHQ datasets?Thank you very much!