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Multimodal Unsupervised Image-To-Image Translation

5 papers with code · Computer Vision

Multimodal unsupervised image-to-image translation is the task of producing multiple translations to one domain from a single image in another domain.

( Image credit: MUNIT: Multimodal UNsupervised Image-to-image Translation )

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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

ICCV 2017 tensorflow/models

Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs.

MULTIMODAL UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION STYLE TRANSFER UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

Unsupervised Image-to-Image Translation Networks

NeurIPS 2017 eriklindernoren/PyTorch-GAN

Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains.

DOMAIN ADAPTATION MULTIMODAL UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks

26 Nov 2017PramuPerera/In2I

In unsupervised image-to-image translation, the goal is to learn the mapping between an input image and an output image using a set of unpaired training images.

MULTIMODAL UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION