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
Adversarial Self-Defense for Cycle-Consistent GANsCode0
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image TranslationCode1
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to NightCode0
Demystifying Inter-Class DisentanglementCode0
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection—0
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous drivingCode0
Joint haze image synthesis and dehazing with mmd-vae losses—0
Few-Shot Unsupervised Image-to-Image TranslationCode1
Unsupervised one-to-many image translation—0
Instance-aware Image-to-Image TranslationCode0
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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