Cargando…
Unsupervised Image-to-Image Translation: A Review
Supervised image-to-image translation has been proven to generate realistic images with sharp details and to have good quantitative performance. Such methods are trained on a paired dataset, where an image from the source domain already has a corresponding translated image in the target domain. Howe...
Autores principales: | Hoyez, Henri, Schockaert, Cédric, Rambach, Jason, Mirbach, Bruno, Stricker, Didier |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654990/ https://www.ncbi.nlm.nih.gov/pubmed/36366238 http://dx.doi.org/10.3390/s22218540 |
Ejemplares similares
-
TIMo—A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
por: Schneider, Pascal, et al.
Publicado: (2022) -
Unsupervised Exemplar-Domain Aware Image-to-Image Translation
por: Fu, Yuanbin, et al.
Publicado: (2021) -
Advanced Scene Perception for Augmented Reality
por: Rambach, Jason, et al.
Publicado: (2022) -
Unpaired MR-CT brain dataset for unsupervised image translation
por: Al-Kadi, Omar S., et al.
Publicado: (2022) -
Nonlinear Optimization of Light Field Point Cloud
por: Anisimov, Yuriy, et al.
Publicado: (2022)