Mix and match networks: encoder-decoder alignment for zero-pair image translation

CVPR 2018 Yaxing WangJoost van de WeijerLuis Herranz

We address the problem of image translation between domains or modalities for which no direct paired data is available (i.e. zero-pair translation). We propose mix and match networks, based on multiple encoders and decoders aligned in such a way that other encoder-decoder pairs can be composed at test time to perform unseen image translation tasks between domains or modalities for which explicit paired samples were not seen during training... (read more)

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