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 81–90 of 124 papers

TitleStatusHype
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution AlignmentCode0
High-Resolution Daytime Translation Without Domain LabelsCode0
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture ModelingCode0
On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation—0
Unsupervised Many-to-Many Image-to-Image Translation Across Multiple Domains—0
Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation—0
Mocycle-GAN: Unpaired Video-to-Video Translation—0
Adversarial Self-Defense for Cycle-Consistent GANsCode0
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to NightCode0
Demystifying Inter-Class DisentanglementCode0
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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