Progressively Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Unsupervised image-to-image translation has received considerable attention due to the recent remarkable advancements in generative adversarial networks (GANs). In image-to-image translation, state-of-the-art methods use unpaired image data to learn mappings between the source and target domains. Ho...

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Bibliografiska uppgifter

Huvudupphov:	Hong-Yu Lee, Yung-Hui Li, Ting-Hsuan Lee, Muhammad Saqlain Aslam
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2023-08-01
Serie:	Sensors
Ämnen:	anime cartoon styles generative adversarial networks image-to-image translation style transfer
Länkar:	https://www.mdpi.com/1424-8220/23/15/6858
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