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Multimodal Unsupervised Image-To-Image Translation

Multimodal unsupervised image-to-image translation is the task of producing multiple translations to one domain from a single image in another domain.

( Image credit: MUNIT: Multimodal UNsupervised Image-to-image Translation )

Papers

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Showing 1–17 of 17 papers

TitleStatusHype
A Style-aware Discriminator for Controllable Image TranslationCode1
Image-to-image Translation via Hierarchical Style DisentanglementCode1
Breaking the Cycle - Colleagues Are All You NeedCode1
Lifespan Age Transformation SynthesisCode1
StarGAN v2: Diverse Image Synthesis for Multiple DomainsCode1
Breaking the cycle -- Colleagues are all you needCode1
Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
Multimodal Unsupervised Image-to-Image TranslationCode1
Unsupervised Image-to-Image Translation NetworksCode1
Wavelet-based Unsupervised Label-to-Image TranslationCode0
High-Resolution Daytime Translation Without Domain LabelsCode0
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection—0
Mode Seeking Generative Adversarial Networks for Diverse Image SynthesisCode0
Semi-Supervised Image-to-Image Translation—0
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation—0
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial NetworksCode0
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial NetworksCode0
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