Browse > Computer Vision > Image-to-Image Translation > Unsupervised Image-To-Image Translation

Unsupervised Image-To-Image Translation

17 papers with code · Computer Vision

Unsupervised image-to-image translation is the task of doing image-to-image translation without ground truth image-to-image pairings.

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Greatest papers with code

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

Multimodal Unsupervised Image-to-Image Translation

ECCV 2018 nvlabs/MUNIT

To translate an image to another domain, we recombine its content code with a random style code sampled from the style space of the target domain.

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

Unsupervised Cross-Domain Image Generation

7 Nov 2016kaonashi-tyc/zi2zi

We study the problem of transferring a sample in one domain to an analog sample in another domain.

DOMAIN ADAPTATION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

Unsupervised Image-to-Image Translation Networks

NeurIPS 2017 mingyuliutw/UNIT

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

Instance-aware Image-to-Image Translation

ICLR 2019 sangwoomo/instagan

Unsupervised image-to-image translation has gained considerable attention due to the recent impressive progress based on generative adversarial networks (GANs).

SEMANTIC SEGMENTATION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

InstaGAN: Instance-aware Image-to-Image Translation

28 Dec 2018sangwoomo/instagan

Our comparative evaluation demonstrates the effectiveness of the proposed method on different image datasets, in particular, in the aforementioned challenging cases.

SEMANTIC SEGMENTATION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

Unsupervised Attention-guided Image-to-Image Translation

NeurIPS 2018 AlamiMejjati/Unsupervised-Attention-guided-Image-to-Image-Translation

Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects interact within a scene.

PERCEPTION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

Unsupervised Attention-guided Image to Image Translation

6 Jun 2018AlamiMejjati/Unsupervised-Attention-guided-Image-to-Image-Translation

Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects interact within a scene.

PERCEPTION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

One-Sided Unsupervised Domain Mapping

NeurIPS 2017 sagiebenaim/DistanceGAN

In this work, we present a method of learning $G_{AB}$ without learning $G_{BA}$.

STYLE TRANSFER UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION