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 1–50 of 124 papers

TitleStatusHype
DGFont++: Robust Deformable Generative Networks for Unsupervised Font GenerationCode2
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style EncoderCode2
Unsupervised Cross-Domain Image GenerationCode2
Learning to generate line drawings that convey geometry and semanticsCode2
Unsupervised MRI Reconstruction with Generative Adversarial NetworksCode1
Lifespan Age Transformation SynthesisCode1
LANIT: Language-Driven Image-to-Image Translation for Unlabeled DataCode1
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired ImagesCode1
Unsupervised Domain Adaptation by BackpropagationCode1
Unaligned Image-to-Image Translation by Learning to ReweightCode1
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 NetworkCode1
DUNIT: Detection-Based Unsupervised Image-to-Image TranslationCode1
Learning to Incorporate Texture Saliency Adaptive Attention to Image CartoonizationCode1
Dual Contrastive Learning for Unsupervised Image-to-Image TranslationCode1
SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image TranslationCode1
Structural-analogy from a Single Image PairCode1
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image TranslationCode1
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo MatchingCode1
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation ApproachCode1
Toward Zero-Shot Unsupervised Image-to-Image TranslationCode1
Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image TranslationCode1
Underwater Image Restoration via Contrastive Learning and a Real-world DatasetCode1
Few-Shot Unsupervised Image-to-Image TranslationCode1
Unsupervised Image-to-Image Translation with Generative PriorCode1
Estimating Image Depth in the Comics DomainCode1
A Style-aware Discriminator for Controllable Image TranslationCode1
Multimodal Unsupervised Image-to-Image TranslationCode1
Feature Quantization Improves GAN TrainingCode1
Single Underwater Image Restoration by Contrastive LearningCode1
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image TranslationCode1
The Surprising Effectiveness of Linear Unsupervised Image-to-Image TranslationCode1
Adversarial Discriminative Domain AdaptationCode1
Rethinking the Truly Unsupervised Image-to-Image TranslationCode1
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image TranslationCode1
Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology ImagesCode1
GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image TranslationCode1
Breaking the cycle -- Colleagues are all you needCode1
Spectral Synthesis for Satellite-to-Satellite TranslationCode1
Unsupervised Image-to-Image Translation NetworksCode1
Breaking the Cycle - Colleagues Are All You NeedCode1
Federated CycleGAN for Privacy-Preserving Image-to-Image Translation—0
Federated Contrastive Learning for Privacy-Preserving Unpaired Image-to-Image Translation—0
Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples—0
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency—0
Contrastive Learning for Unsupervised Image-to-Image Translation—0
Minimal Geometry-Distortion Constraint for Unsupervised Image-to-Image Translation—0
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection—0
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation—0
Joint haze image synthesis and dehazing with mmd-vae losses—0
Enhanced Unsupervised Image-to-Image Translation Using Contrastive Learning and Histogram of Oriented Gradients—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