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Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss

BMVC, pp.287, (2019)

Cited by: 0|Views201
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Abstract

Generative adversarial networks has emerged as a defacto standard for image translation problems. To successfully drive such models, one has to rely on additional networks e.g., discriminators and/or perceptual networks. Training these networks with pixel based losses alone are generally not sufficient to learn the target distribution. ...More

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Seibold Constantin
Seibold Constantin
Khalid Haroon
Khalid Haroon
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