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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Hong-Yu, Li, Yung-Hui, Lee, Ting-Hsuan, Aslam, Muhammad Saqlain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422294/
https://www.ncbi.nlm.nih.gov/pubmed/37571641
http://dx.doi.org/10.3390/s23156858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422294/
https://www.ncbi.nlm.nih.gov/pubmed/37571641
http://dx.doi.org/10.3390/s23156858

Ejemplares similares