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Implementation of the FIRe-GAN model, a GAN-based method for the fusion of visible-infrared images.

License: MIT License

Python 100.00%

computer-vision deep-learning generative-adversarial-network image-fusion tensorflow2 visible-infrared

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image-fusion-gan's Issues

Question about H5

Hello, I downloaded your H5 file. Is it the weight after transfer and learning? Or is it just the weight of gamma=1 training that hasn't been transferred yet?

Questions about indicators

Hello, I observed.
In this paper, the index of PSNR-IR_GIR was lower than 30dB. In Zhao's article, his PSNR index is all higher than 60dB. It's confusing to me

Hello, I have some questions.
1.You train with RGB dataset and used transfer learning on fire data sets. Why not use fire data sets for training?
2.You compare three models, but two models are trained with other data sets. Is there a problem with that?
Looking forward to your reply. Thank you

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