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neuralchen / SimSwap

An arbitrary face-swapping framework on images and videos with one single trained model!

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Why do I use the model trained on the 512-cropped data set to make predictions, and the result is so The result is so unsatisfactory?

liaoyunfengs opened this issue · comments

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630_0_0
I use train.py to train the model, and get the 528000_net_D.pth, 528000_net_G.pth, 528000_optim_D.pth, 528000_opt_G.pth, then use the 528000_net_G.pth to make predictions by test_wholeimage_swapsingle.py. Why is the result of changing faces like this?