I am a deep network learner, and I am also studying the problem of image denoising recently. I want to ask the author a question, how to produce a noise model in this code? Do you use the GAN production noise model or the GAN2GAN production noise model?
I am a deep network learner, and I am also studying the problem of image denoising recently. I want to ask the author a question, how to produce a noise model in this code? Do you use the GAN production noise model or the GAN2GAN production noise model?