swapping-autoencoder-pytorch
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some questions about 1024 resolution
Hi, great work!
But I have some questions about 1024 resolution. In the paper:
could you provide the detail about the implemention of smaller network capacity?
And In Appendix B B.3 Datasets: the model is initially trained at 512 x 512 resolution,and finetuned at 1024 resolution. Is the model with smaller network capacity?