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 1–10 of 124 papers

TitleStatusHype
DGFont++: Robust Deformable Generative Networks for Unsupervised Font GenerationCode2
Learning to generate line drawings that convey geometry and semanticsCode2
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style EncoderCode2
Unsupervised Cross-Domain Image GenerationCode2
GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image TranslationCode1
LANIT: Language-Driven Image-to-Image Translation for Unlabeled DataCode1
Learning to Incorporate Texture Saliency Adaptive Attention to Image CartoonizationCode1
Unsupervised Image-to-Image Translation with Generative PriorCode1
A Style-aware Discriminator for Controllable Image TranslationCode1
Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology ImagesCode1
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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