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hi there today well look at rethinking the truly unsupervised image to image translation by kyung junai baik yoon jae choi yong jung oo ja jung yu and hyun jung so in this paper well deal with image to image translation in an unsupervised fashion so on a high level they replace the need for domain or really single image label annotations in image to image translation by training a guiding network that is able to sort of do a self clustering of the image domain and therefore that guides the image to image translation instead of the previously needed labels i myself dont know too much about image to image translation and style transfer and all of this stuff this has always been kind of a mystery to me and will try to make as much sense as possible out of this paper if youre with me i might not get everything right but i um will give my best of course as always if you like content like this consider sharing it out and leaving a like and a comment i do read the comments so i get a goo