Cargando…
FGL-GAN: Global-Local Mask Generative Adversarial Network for Flame Image Composition
It is important to reduce the danger of collecting flame image data sets by compositing flame images by computer. In this paper, a Global-Local mask Generative Adversarial Network (FGL-GAN) is proposed to address the current status of low quality composite flame images. First, FGL-GAN adopts a hiera...
Autores principales: | Qin, Kui, Hou, Xinguo, Yan, Zhengjun, Zhou, Feng, Bu, Leping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460294/ https://www.ncbi.nlm.nih.gov/pubmed/36080788 http://dx.doi.org/10.3390/s22176332 |
Ejemplares similares
-
Application of Generative Adversarial Networks (GANs) to jet images
por: Paganini, Michela
Publicado: (2017) -
ImputeGAN: Generative Adversarial Network for Multivariate Time Series Imputation
por: Qin, Rui, et al.
Publicado: (2023) -
Seminar: Open challenges for improving Generative Adversarial Networks (GANs)
por: Goodfellow, Ian
Publicado: (2017) -
MB-GAN: Microbiome Simulation via Generative Adversarial Network
por: Rong, Ruichen, et al.
Publicado: (2021) -
Extended Spatially Localized Perturbation GAN (eSLP-GAN) for Robust Adversarial Camouflage Patches †
por: Kim, Yongsu, et al.
Publicado: (2021)