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

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Showing 1–10 of 124 papers

TitleStatusHype
Multi-Platform Methane Plume Detection via Model and Domain Adaptation—0
Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples—0
Semantically Robust Unsupervised Image Translation for Paired Remote Sensing Images—0
Unpaired Image-to-Image Translation with Content Preserving Perspective: A Review—0
Enhanced Unsupervised Image-to-Image Translation Using Contrastive Learning and Histogram of Oriented Gradients—0
Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation—0
Dense Multitask Learning to Reconfigure Comics—0
GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image TranslationCode1
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables—0
Wavelet-based Unsupervised Label-to-Image TranslationCode0
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All datasetsSVNH-to-MNISTFreiburg Forest Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1In2IPSNR21.65—Unverified
2cycGANPSNR18.57—Unverified
3UNITPSNR9.42—Unverified