“The crux of the approach is the use of a ‘cycle-consistency loss’. This loss ensures that the network can perform the forward translation and followed by the reverse translations with minimal loss. That is, the network must learn how to not only translate the original image, in needs to also learn the inverse (or reverse) translation.”
The Strange Loop in Deep Learning
https://medium.com/intuitionmachine/the-strange-loop-in-deep-learning-38aa7caf6d7d
“The crux of the approach is the use of a ‘cycle-consistency loss’. This loss ensures that the network can perform the forward translation and followed by the reverse translations with minimal loss. That is, the network must learn how to not only translate the original image, in needs to also learn the inverse (or reverse) translation.”