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

Showing 125 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
Lifespan Age Transformation SynthesisCode1
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image TranslationCode1
Single Underwater Image Restoration by Contrastive LearningCode1
Breaking the Cycle - Colleagues Are All You NeedCode1
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image TranslationCode1
Few-Shot Unsupervised Image-to-Image TranslationCode1
GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image TranslationCode1
A Style-aware Discriminator for Controllable Image TranslationCode1
Multimodal Unsupervised Image-to-Image TranslationCode1
Rethinking the Truly Unsupervised Image-to-Image TranslationCode1
Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology ImagesCode1
Estimating Image Depth in the Comics DomainCode1
Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image TranslationCode1
Breaking the cycle -- Colleagues are all you needCode1
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation ApproachCode1
Adversarial Discriminative Domain AdaptationCode1
Feature Quantization Improves GAN TrainingCode1
Dual Contrastive Learning for Unsupervised Image-to-Image TranslationCode1
LANIT: Language-Driven Image-to-Image Translation for Unlabeled DataCode1
DUNIT: Detection-Based Unsupervised Image-to-Image TranslationCode1
Learning to Incorporate Texture Saliency Adaptive Attention to Image CartoonizationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CyCADA pixel+featClassification Accuracy90.4Unverified
2DTNClassification Accuracy84.4Unverified
3ADDAClassification Accuracy76Unverified
4DANNClassification Accuracy73.6Unverified
#ModelMetricClaimedVerifiedStatus
1In2IPSNR21.65Unverified
2cycGANPSNR18.57Unverified
3UNITPSNR9.42Unverified