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
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection—0
Contrastive Learning for Unsupervised Image-to-Image Translation—0
Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation—0
Dense Multitask Learning to Reconfigure Comics—0
Disentangled Unsupervised Image Translation via Restricted Information Flow—0
Enhanced Unsupervised Image-to-Image Translation Using Contrastive Learning and Histogram of Oriented Gradients—0
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency—0
Federated Contrastive Learning for Privacy-Preserving Unpaired Image-to-Image Translation—0
Federated CycleGAN for Privacy-Preserving Image-to-Image Translation—0
Few-Shot Unsupervised Image-to-Image Translation on complex scenes—0
GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation—0
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer—0
Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation—0
Improving Style-Content Disentanglement in Image-to-Image Translation—0
Invertible Autoencoder for domain adaptation—0
Joint haze image synthesis and dehazing with mmd-vae losses—0
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation—0
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation—0
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling—0
Learning Joint Wasserstein Auto-Encoders for Joint Distribution Matching—0
Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators—0
Memory-guided Unsupervised Image-to-image Translation—0
Minimal Geometry-Distortion Constraint for Unsupervised Image-to-Image Translation—0
Mocycle-GAN: Unpaired Video-to-Video Translation—0
Multi-cropping Contrastive Learning and Domain Consistency for Unsupervised Image-to-Image Translation—0
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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