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 51–75 of 124 papers

TitleStatusHype
Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain ClassificationCode0
Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology—0
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style TranslationCode0
A Framework for Generalizing Critical Heat Flux Detection Models Using Unsupervised Image-to-Image Translation—0
Multi-domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution—0
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation—0
Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators—0
Unsupervised Image to Image Translation for Multiple Retinal Pathology Synthesis in Optical Coherence Tomography Scans—0
Disentangled Unsupervised Image Translation via Restricted Information Flow—0
Separating Content and Style for Unsupervised Image-to-Image TranslationCode0
Federated Contrastive Learning for Privacy-Preserving Unpaired Image-to-Image Translation—0
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translationCode0
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint—0
Federated CycleGAN for Privacy-Preserving Image-to-Image Translation—0
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation—0
Few-Shot Unsupervised Image-to-Image Translation on complex scenes—0
Contrastive Learning for Unsupervised Image-to-Image Translation—0
Memory-guided Unsupervised Image-to-image Translation—0
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation—0
Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared DiscriminatorCode0
Six-channel Image Representation for Cross-domain Object Detection—0
Minimal Geometry-Distortion Constraint for Unsupervised Image-to-Image Translation—0
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling—0
GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation—0
Show:102550
← PrevPage 3 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