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

Unsupervised Image-To-Image Translation

24 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.

( Image credit: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks )

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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

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

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

25 Jul 2019taki0112/UGATIT

We propose a novel method for unsupervised image-to-image translation, which incorporates a new attention module and a new learnable normalization function in an end-to-end manner.

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

Few-Shot Unsupervised Image-to-Image Translation

ICCV 2019 NVlabs/FUNIT

Unsupervised image-to-image translation methods learn to map images in a given class to an analogous image in a different class, drawing on unstructured (non-registered) datasets of images.

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 Domain Adaptation by Backpropagation

26 Sep 2014fungtion/DANN

Here, we propose a new approach to domain adaptation in deep architectures that can be trained on large amount of labeled data from the source domain and large amount of unlabeled data from the target domain (no labeled target-domain data is necessary).

IMAGE CLASSIFICATION UNSUPERVISED DOMAIN ADAPTATION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION