rmokady / structural-analogy Goto Github PK
View Code? Open in Web Editor NEWPytorch implementation for the paper "Structural-analogy from a Single Image Pair"
License: MIT License
Pytorch implementation for the paper "Structural-analogy from a Single Image Pair"
License: MIT License
Kudos for the great work.. However i am not getting desired result for day to infrared conversion? Do you have any recommendations what might help?
i'm trying to test train for video on 11gb 1080ti and get a "out of memory" error (at 5-6 scale).
also train works perfect for image
Hi, this model is fantastic, thanks so much!
In order to resume training from a checkpoint, which netG and netD should be specified in the call to train.py? Is unclear to me since there are .pth files for G and D corresponding to each image. Do args --netG and --netD accept more than one path each?
Best wishes,
Mark
hello,
did you consider using ConSinGAN instead of SinGAN?
on my practice it proved to be way more optimized (less memory-hungry), easier to explore and producing better results (more consistent and visually pleasing).
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