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
A Style-aware Discriminator for Controllable Image TranslationCode1
Learning to generate line drawings that convey geometry and semanticsCode2
Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology ImagesCode1
Multi-domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution—0
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation—0
Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators—0
Unsupervised Image to Image Translation for Multiple Retinal Pathology Synthesis in Optical Coherence Tomography Scans—0
Disentangled Unsupervised Image Translation via Restricted Information Flow—0
Separating Content and Style for Unsupervised Image-to-Image TranslationCode0
Estimating Image Depth in the Comics DomainCode1
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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