Understanding CycleGANs using examples & codes

After covering basic GANs (with a sample model) in my last post, taking a step further, we will explore an advanced GAN version i.e CycleGAN having some fascinating application in the field of image translation So, the idea is if we have an image of a house in the Summer season, it should get translated into an image depicting the winter season keeping the house as it is. How can this be done? But if you ponder for a minute, preparing such a training dataset is a monumental task. For example: for the Summer to Winter translation of the same location, you may need to wait for a year to get pictures. In other cases, the Y just doesn't exist.