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 71–80 of 124 papers

TitleStatusHype
Lifespan Age Transformation SynthesisCode1
High-Resolution Daytime Translation Without Domain LabelsCode0
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture ModelingCode0
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image TranslationCode1
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image TranslationCode1
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
Breaking the cycle -- Colleagues are all you needCode1
Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation—0
Mocycle-GAN: Unpaired Video-to-Video Translation—0
Show:102550
← PrevPage 8 of 13Next →
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