Cargando…
Material Translation Based on Neural Style Transfer with Ideal Style Image Retrieval
The field of Neural Style Transfer (NST) has led to interesting applications that enable us to transform reality as human beings perceive it. Particularly, NST for material translation aims to transform the material of an object into that of a target material from a reference image. Since the target...
Autores principales: | Benitez-Garcia, Gibran, Takahashi, Hiroki, Yanai, Keiji |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573044/ https://www.ncbi.nlm.nih.gov/pubmed/36236415 http://dx.doi.org/10.3390/s22197317 |
Ejemplares similares
-
Cartoon-Style Image Rendering Transfer Based on Neural Networks
por: Wang, Lei
Publicado: (2022) -
Robust Nonparametric Distribution Transfer with Exposure Correction for Image Neural Style Transfer
por: Liu, Shuai, et al.
Publicado: (2020) -
Guided neural style transfer for shape stylization
por: Atarsaikhan, Gantugs, et al.
Publicado: (2020) -
Neural Network-Based Mapping Mining of Image Style Transfer in Big Data Systems
por: Li, Hong-an, et al.
Publicado: (2021) -
Retracted: Neural Network-Based Mapping Mining of Image Style Transfer in Big Data Systems
por: Intelligence and Neuroscience, Computational
Publicado: (2023)