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Hypercomplex Image-to-Image Translation. (arXiv:2205.02087v1 [cs.CV])
May 5, 2022, 1:12 a.m. | Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello
cs.LG updates on arXiv.org arxiv.org
Image-to-image translation (I2I) aims at transferring the content
representation from an input domain to an output one, bouncing along different
target domains. Recent I2I generative models, which gain outstanding results in
this task, comprise a set of diverse deep networks each with tens of million
parameters. Moreover, images are usually three-dimensional being composed of
RGB channels and common neural models do not take dimensions correlation into
account, losing beneficial information. In this paper, we propose to leverage
hypercomplex algebra properties …
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