Implicit Pairs for Boosting Unpaired Image-to-Image Translation
In image-to-image translation the goal is to learn a mapping from one image domain to another. In the case of supervised approaches the mapping is learned from paired samples. However, collecting large sets of image pairs is often either prohibitively expensive or not possible. As a result, in recen...
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Veröffentlicht in: | arXiv.org 2020-12 |
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