Ahh, I see. Thanks! I'll write it down in my TODO list. Might have to investigate seg masks a bit more :)

The GAN models I've tested are based on the 'unaligned' approach (e.g. CycleGAN). I still have not tested to cut and resize the images, to make them show the same region. My immediate thought would be that the top-and-bottom of both images might dissapear, but perhaps its ok still?

Interesting! I will for sure write that down in my TODO list, thanks!

Correct, it's not physically possible. This is a research project to find to what degree it IS possible :)

Thanks :) I noticed Palette uses paired images, whilst mine are a bit unaligned. Would you considered it a paired image set, or unpaired? They look closely similar, but don't share pixel information in the top/bottom of the images.

Thanks a lot! Will look into it, but seems like the U-NET outputs are segmentation masks, whilst I want it to actually output (generate) IR image equivalents of the RGB image. Is there some idea that I'm missing, perhaps?

Hmm, interesting! Do you have any papers/article/sources supporting this claim?

Have tried CycleGAN, CUT (which is an improvement of CycleGAN), NEGCUT (similar to CUT) and ACL-GAN.

Could you recommend any SOTA models using U-NET?