How I can derive ResNet model weight from the pre-trained LPIPS weights

[dinusha94]

Hi, in the Nvidia Stylegan2-ada they have mentioned that they use vgg16 weights which are derived from the pre-trained LPIPS weights,

"vgg16_zhang_perceptual.pkl" is further derived from the pre-trained LPIPS
weights by Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman

link : https://nvlabs-fi-cdn.nvidia.com/stylegan2-ada/pretrained/metrics/NOTICE.txt

I would like to do the same for other networks also, How can I do that

Thanks in advance
Dinusha

[unistdJRZ]

Perceptual Loss has specified model structure and trained by specified dataset，if u wanna change into ResNet u should doing this procedure again