SOTAVerified

Unsupervised Image-To-Image Translation

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 )

Papers

Showing 5175 of 124 papers

TitleStatusHype
One-Shot Unsupervised Cross Domain TranslationCode0
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to NightCode0
Improving Shape Deformation in Unsupervised Image-to-Image TranslationCode0
One-Sided Unsupervised Domain MappingCode0
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image TranslationCode0
Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared DiscriminatorCode0
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial NetworksCode0
Unsupervised Image-to-Image Translation with Self-Attention NetworksCode0
Estimating the Success of Unsupervised Image to Image TranslationCode0
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous drivingCode0
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translationCode0
Demystifying Inter-Class DisentanglementCode0
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution AlignmentCode0
Unsupervised Video-to-Video TranslationCode0
MCMI: Multi-Cycle Image Translation with Mutual Information ConstraintsCode0
Wavelet-based Unsupervised Label-to-Image TranslationCode0
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial NetworksCode0
InstaGAN: Instance-aware Image-to-Image TranslationCode0
Unsupervised Attention-guided Image to Image TranslationCode0
Unsupervised Attention-guided Image-to-Image TranslationCode0
Medical Image Generation using Generative Adversarial Networks0
Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples0
A Framework for Generalizing Critical Heat Flux Detection Models Using Unsupervised Image-to-Image Translation0
Unsupervised Many-to-Many Image-to-Image Translation Across Multiple Domains0
Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CyCADA pixel+featClassification Accuracy90.4Unverified
2DTNClassification Accuracy84.4Unverified
3ADDAClassification Accuracy76Unverified
4DANNClassification Accuracy73.6Unverified
#ModelMetricClaimedVerifiedStatus
1In2IPSNR21.65Unverified
2cycGANPSNR18.57Unverified
3UNITPSNR9.42Unverified