Mix and match networks: multi-domain alignment for unpaired image-to-image translation
arXiv: Computer Vision and Pattern Recognition, 2019.
This paper addresses the problem of inferring unseen cross-domain and cross-modal image-to-image translations between multiple domains and modalities. We assume that only some of the pairwise translations have been seen (i.e. trained) and infer the remaining unseen translations (where training pairs are not available). We propose mix and ...More
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