Mix and match networks: encoder-decoder alignment for zero-pair image translation
CVPR, pp. 5467-5476, 2018.
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 translat...More
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