Unsupervised Image-to-Image Translation: A Review

Unsupervised Image-to-Image Translation: A Review

Supervised image-to-image translation has been proven to generate realistic images with sharp details and to have good quantitative performance. Such methods are trained on a paired dataset, where an image from the source domain already has a corresponding translated image in the target domain. Howe...

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Bibliographic Details
Main Authors: Henri Hoyez, Cédric Schockaert, Jason Rambach, Bruno Mirbach, Didier Stricker
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
unsupervised image-to-image translation
machine learning
computer vision
deep learning
generative adversarial networks
review
Online Access:https://www.mdpi.com/1424-8220/22/21/8540

Internet

https://www.mdpi.com/1424-8220/22/21/8540

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