There are no instructions on how to use the code for my own noisy-noisy pairs. The current code takes a dataset of images as input and applies two independent noises on each instance, leading to pairs of noisy-noisy train set. But what if I already have my own pairs of noisy-noisy images and want to train the network on them? Is this possible with current architecture?
Dear Authors,
There are no instructions on how to use the code for my own noisy-noisy pairs. The current code takes a dataset of images as input and applies two independent noises on each instance, leading to pairs of noisy-noisy train set. But what if I already have my own pairs of noisy-noisy images and want to train the network on them? Is this possible with current architecture?
Best, Ali.