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 51–60 of 124 papers

TitleStatusHype
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 NetworkCode1
GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation—0
Unsupervised MRI Reconstruction with Generative Adversarial NetworksCode1
Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation—0
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation ApproachCode1
Toward Zero-Shot Unsupervised Image-to-Image TranslationCode1
The Surprising Effectiveness of Linear Unsupervised Image-to-Image TranslationCode1
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style EncoderCode2
Improving Style-Content Disentanglement in Image-to-Image Translation—0
MCMI: Multi-Cycle Image Translation with Mutual Information ConstraintsCode0
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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