Open IPNUISTlegal opened 6 years ago
@IPNUISTlegal Hi, how is your learning going? I just read the paper. I think the authors wrote that they collected the images from ImageNet and visually classified the images into distorted images vs. non-distorted images.
@Xiaodong-Bran a little difficult,i am noob in python and deeplearning. to my best knowledge, distorted images and non-distorted images were trainded by CycleGAN.
i can't find that how long is it spent on CycleGAN training to generate distorted images in your paper. Does GTX 1080 have the ability to train CycleGAN?cause i found CycleGAN has nine residule_blocks! I am not sure about what CycleGAN input is? distortion images and clear images?Where do these distortion images come from? I just started learning GAN, thank you very much for replying!