Diverse Image-to-Image Translation via Disentangled Representations

ECCV, 2020.

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We present an approach based on disentangled representation for producing diverse outputs without paired training images

Abstract:

Image-to-image translation aims to learn the mapping between two visual domains. There are two main challenges for many applications: (1) the lack of aligned training pairs and (2) multiple possible outputs from a single input image. In this work, we present an approach based on disentangled representation for producing diverse outputs wi...More

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