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 76–100 of 124 papers

TitleStatusHype
Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation—0
Improving Style-Content Disentanglement in Image-to-Image Translation—0
MCMI: Multi-Cycle Image Translation with Mutual Information ConstraintsCode0
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer—0
Medical Image Generation using Generative Adversarial Networks—0
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
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
Unsupervised one-to-many image translation—0
Instance-aware Image-to-Image TranslationCode0
TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation—0
Semantics-Aware Image to Image Translation and Domain Transfer—0
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image TranslationCode0
Unsupervised Image-to-Image Translation with Self-Attention NetworksCode0
Semi-Supervised Image-to-Image Translation—0
Show:102550
← PrevPage 4 of 5Next →
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