Cargando…
CRPGAN: Learning image-to-image translation of two unpaired images by cross-attention mechanism and parallelization strategy
Unsupervised image-to-image translation (UI2I) tasks aim to find a mapping between the source and the target domains from unpaired training data. Previous methods can not effectively capture the differences between the source and the target domain on different scales and often leads to poor quality...
Autores principales: | Feng, Long, Geng, Guohua, Li, Qihang, Jiang, Yi, Li, Zhan, Li, Kang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821492/ https://www.ncbi.nlm.nih.gov/pubmed/36607995 http://dx.doi.org/10.1371/journal.pone.0280073 |
Ejemplares similares
-
Correction to: Unpaired Image-to-Image Translation Using Adversarial Consistency Loss
por: Zhao, Yihao, et al.
Publicado: (2021) -
CryoETGAN: Cryo-Electron Tomography Image Synthesis via Unpaired Image Translation
por: Wu, Xindi, et al.
Publicado: (2022) -
Unpaired MR-CT brain dataset for unsupervised image translation
por: Al-Kadi, Omar S., et al.
Publicado: (2022) -
Synthesis of COVID-19 chest X-rays using unpaired image-to-image translation
por: Zunair, Hasib, et al.
Publicado: (2021) -
DeSmoke-LAP: improved unpaired image-to-image translation for desmoking in laparoscopic surgery
por: Pan, Yirou, et al.
Publicado: (2022)