Deep Learning, Machine Learning, Neural Networks, Computer Vision, Artificial Intelligence.
the first generator could be used as input to the second generator and the output of the second generator should match the original image. The reverse is also true. The CycleGAN encourages cycle consistency by adding an additional loss to measure the difference between the generated output of the