Open tengshaofeng opened 2 years ago
Have you solved that? I strongly think that even if the output is set to 1024, actual output without distortion/noise artifacts will probably happen only for the size of 256x256 set as the output size as to get 1024 size there will be an interpolation, and that will give you all those errors. After all, you see the pre-trained models specify a D size for the lightweight Hyperinverter of 128, and 256 for the large version.
Hi, thank you for your great work. When I test on many images, I found comes several defect as follows:
It seems exits much noise on face in some images(zoom in) orgin image: invert image:
It seems sensitive to hair on the face: origin image:
invert image:
Can you give me some advise to solve that?