I have recently read about U-Net and thought that since it is very similar with autoencoders then perhaps I could use it for a project in place of autoencoders for dimension reduction. But I haven’t found any papers that use it for that purpose only segmentation and generative models. Is there a theoretical issue using it for that purpose?