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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 124 papers

TitleStatusHype
GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image TranslationCode1
Dual Contrastive Learning for Unsupervised Image-to-Image TranslationCode1
LANIT: Language-Driven Image-to-Image Translation for Unlabeled DataCode1
DUNIT: Detection-Based Unsupervised Image-to-Image TranslationCode1
Estimating Image Depth in the Comics DomainCode1
A Style-aware Discriminator for Controllable Image TranslationCode1
Single Underwater Image Restoration by Contrastive LearningCode1
Feature Quantization Improves GAN TrainingCode1
Spectral Synthesis for Satellite-to-Satellite TranslationCode1
Multimodal Unsupervised Image-to-Image TranslationCode1
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All datasetsSVNH-to-MNISTFreiburg Forest Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CyCADA pixel+featClassification Accuracy90.4—Unverified
2DTNClassification Accuracy84.4—Unverified
3ADDAClassification Accuracy76—Unverified
4DANNClassification Accuracy73.6—Unverified
#ModelMetricClaimedVerifiedStatus
1In2IPSNR21.65—Unverified
2cycGANPSNR18.57—Unverified
3UNITPSNR9.42—Unverified